The most powerful diagnostic image processing software from Carestream Health, EVP Plus enables users to automatically render images without a priori knowledge of exam or body-part.
For more information, please visit us at: http://www.carestream.com/directview-evp-plus-software.html
Basic Medical Imaging Processing and AnalysisKyla De Chavez
Deals with the development of problem specific approaches to enhance the raw medical data for the purpose of selective visualization as well as further analysis.
Brain Tumor Detection Using Image ProcessingSinbad Konick
The process of brain tumor detection using various filters and finding out the best possible approach. Processing the image and using other filters and find out the result.
Digital Tomosynthesis: Theory of OperationCarestream
Digital Tomosynthesis (DT) is a new radiographic imaging technique that is revived from the nearly century-old traditional film-screen tomography. This rejuvenation is all made possible by the recent advances in high frame-rate, high-sensitivity flat-panel digital radiographic detector, rapid pulsed-exposure sequence-capable high-frequency x-ray generator, the widely available and low-cost computer GPU processing power, and the precision motion controls built in the digital radiography system hardware. Read the white paper.
Basic Medical Imaging Processing and AnalysisKyla De Chavez
Deals with the development of problem specific approaches to enhance the raw medical data for the purpose of selective visualization as well as further analysis.
Brain Tumor Detection Using Image ProcessingSinbad Konick
The process of brain tumor detection using various filters and finding out the best possible approach. Processing the image and using other filters and find out the result.
Digital Tomosynthesis: Theory of OperationCarestream
Digital Tomosynthesis (DT) is a new radiographic imaging technique that is revived from the nearly century-old traditional film-screen tomography. This rejuvenation is all made possible by the recent advances in high frame-rate, high-sensitivity flat-panel digital radiographic detector, rapid pulsed-exposure sequence-capable high-frequency x-ray generator, the widely available and low-cost computer GPU processing power, and the precision motion controls built in the digital radiography system hardware. Read the white paper.
EVP Plus Software delivers state-of-the-art image processing for CR and DR sy...Carestream
Radiographic technologists expect a high degree of
automation and efficiency in the technology they use in their
daily workflow, which means they expect minimal interaction
with the technology’s modality software. At the same time,
radiologists also need the flexibility to specify their site’s
individualized diagnostic viewing preferences. The CARESTREAM DirectView EVP Plus Software successfully
overcomes this challenge for digital-projection radiography.
EVP Plus automatically processes and delivers diagnostic-quality DR and CR images to PACS, based on look preferences that can be uniquely specified by each site.
Brain tumor detection and localization in magnetic resonance imagingijitcs
A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from the
surrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of death and
responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at an alarming rate
in the world. Great knowledge and experience on radiology are required for accurate tumor detection in
medical imaging. Automation of tumor detection is required because there might be a shortage of skilled
radiologists at a time of great need. We propose an automatic brain tumor detectionand localization
framework that can detect and localize brain tumor in magnetic resonance imaging. The proposed brain
tumor detection and localization framework comprises five steps: image acquisition, pre-processing, edge
detection, modified histogram clustering and morphological operations. After morphological operations,
tumors appear as pure white color on pure black backgrounds. We used 50 neuroimages to optimize our
system and 100 out-of-sample neuroimages to test our system. The proposed tumor detection and localization
system was found to be able to accurately detect and localize brain tumor in magnetic resonance imaging.
The preliminary results demonstrate how a simple machine learning classifier with a set of simple
image-based features can result in high classification accuracy. The preliminary results also demonstrate the
efficacy and efficiency of our five-step brain tumor detection and localization approach and motivate us to
extend this framework to detect and localize a variety of other types of tumors in other types of medical
imagery.
Dual energy imaging and digital tomosynthesis: Innovative X-ray based imaging...Carestream
Dual-energy (DE) imaging and digital tomosynthesis (DT) have been around for a few decades, but recent advancements in digital detectors have made this technology increasingly promising in clinical use. For more information about Carestream's imaging portfolio, visit www.carestream.com/medical or http://www.carestream.com/blog/2016/03/15/dual-energy-imaging-and-digital-tomosynthesis/
Smart Noise Cancellation Processing: New Level of Clarity in Digital RadiographyCarestream
Smart Noise Cancellation significantly reduces noise in diagnostic images while retaining fine spatial detail –there is no degradation of anatomical sharpness. When SNC is applied, it produces images that are significantly clearer than with standard processing. It also provides better contrast-to-noise ratio for images acquired at a broad range of exposures.
Learn the importance of dose evaluation and reporting and see how radiation is measured as compared to the radiation from the natural background in a normal environment.
Tube and Line and Pneumothorax Visualization SoftwareCarestream
Carestream has implemented companion views in its digital
radiography systems. A companion view is designed to
complement the standard processed radiographic image
delivered from the digital radiography capture modality to
PACS, to provide an additional rendering tailored for the visual
interpretation needed for a specific diagnostic or clinical
purpose. Two companion views are available in Carestream
products for chest radiography: one for the optimal
visualization of tubes and lines in chest radiographs
(CARESTREAM Tube & Line Visualization Software), and the
other for enhancing the conspicuity of a pneumothorax
(CARESTREAM Pneumothorax Visualization Software).
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals
A Dualistic Sub-Image Histogram Equalization Based Enhancement and Segmentati...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
EVP Plus Software delivers state-of-the-art image processing for CR and DR sy...Carestream
Radiographic technologists expect a high degree of
automation and efficiency in the technology they use in their
daily workflow, which means they expect minimal interaction
with the technology’s modality software. At the same time,
radiologists also need the flexibility to specify their site’s
individualized diagnostic viewing preferences. The CARESTREAM DirectView EVP Plus Software successfully
overcomes this challenge for digital-projection radiography.
EVP Plus automatically processes and delivers diagnostic-quality DR and CR images to PACS, based on look preferences that can be uniquely specified by each site.
Brain tumor detection and localization in magnetic resonance imagingijitcs
A tumor also known as neoplasm is a growth in the abnormal tissue which can be differentiated from the
surrounding tissue by its structure. A tumor may lead to cancer, which is a major leading cause of death and
responsible for around 13% of all deaths world-wide. Cancer incidence rate is growing at an alarming rate
in the world. Great knowledge and experience on radiology are required for accurate tumor detection in
medical imaging. Automation of tumor detection is required because there might be a shortage of skilled
radiologists at a time of great need. We propose an automatic brain tumor detectionand localization
framework that can detect and localize brain tumor in magnetic resonance imaging. The proposed brain
tumor detection and localization framework comprises five steps: image acquisition, pre-processing, edge
detection, modified histogram clustering and morphological operations. After morphological operations,
tumors appear as pure white color on pure black backgrounds. We used 50 neuroimages to optimize our
system and 100 out-of-sample neuroimages to test our system. The proposed tumor detection and localization
system was found to be able to accurately detect and localize brain tumor in magnetic resonance imaging.
The preliminary results demonstrate how a simple machine learning classifier with a set of simple
image-based features can result in high classification accuracy. The preliminary results also demonstrate the
efficacy and efficiency of our five-step brain tumor detection and localization approach and motivate us to
extend this framework to detect and localize a variety of other types of tumors in other types of medical
imagery.
Dual energy imaging and digital tomosynthesis: Innovative X-ray based imaging...Carestream
Dual-energy (DE) imaging and digital tomosynthesis (DT) have been around for a few decades, but recent advancements in digital detectors have made this technology increasingly promising in clinical use. For more information about Carestream's imaging portfolio, visit www.carestream.com/medical or http://www.carestream.com/blog/2016/03/15/dual-energy-imaging-and-digital-tomosynthesis/
Smart Noise Cancellation Processing: New Level of Clarity in Digital RadiographyCarestream
Smart Noise Cancellation significantly reduces noise in diagnostic images while retaining fine spatial detail –there is no degradation of anatomical sharpness. When SNC is applied, it produces images that are significantly clearer than with standard processing. It also provides better contrast-to-noise ratio for images acquired at a broad range of exposures.
Learn the importance of dose evaluation and reporting and see how radiation is measured as compared to the radiation from the natural background in a normal environment.
Tube and Line and Pneumothorax Visualization SoftwareCarestream
Carestream has implemented companion views in its digital
radiography systems. A companion view is designed to
complement the standard processed radiographic image
delivered from the digital radiography capture modality to
PACS, to provide an additional rendering tailored for the visual
interpretation needed for a specific diagnostic or clinical
purpose. Two companion views are available in Carestream
products for chest radiography: one for the optimal
visualization of tubes and lines in chest radiographs
(CARESTREAM Tube & Line Visualization Software), and the
other for enhancing the conspicuity of a pneumothorax
(CARESTREAM Pneumothorax Visualization Software).
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
call for paper 2012, hard copy of journal, research paper publishing, where to publish research paper,
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals
A Dualistic Sub-Image Histogram Equalization Based Enhancement and Segmentati...inventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Engineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkofdssskqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnko dffghhbcxdffgvEngineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkofdssskqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnko dffghhbcxdffgvqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkooEngineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkofdssskqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnko dffghhbcxdffgvEngineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkofdssskqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnko dffghhbcxdffgvqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkooEngineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkofdssskqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnko dffghhbcxdffgvEngineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkofdssskqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnko dffghhbcxdffgvqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkooEngineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnkofdssskqqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhhhvvvbbbvvvhjjfdddfujjjhhhhhhhhjhccyhjbvfhjjhggggggcbnko dffghhbcxdffgvEngineering is a qqqqqqqqaasdfghjkvvxxcvvnnvcxz mmmbbbbbbvcccffģvgggfffhjjjbbbbbhhhhhhhhhhhhhh
Dr. Ralph Schaetzing, Manager, Strategic Standards & Regulatory Affairs, Carestream, writes about how we define “image quality” and how the definition involves numerous factors that can differ between people and technologies.
The key topics covered in the white paper that delves into the image quality debate include:
• Where image quality is affected throughout the radiographic image chain
• Understanding the three different “flavors” of image quality—objective, subjective, and performance-based
• The role medical image processing plays in determining image quality
• The three main categories of reader error in radiography—visual scanning, target recognition, and decision-making/interpretation
Due to diagnosis problem in detecting lung Cancer, it becomes the most dangerous cancer seen in human being. Because of early diagnosis, the survival rate among people is increased. The prediction of lung cancer is the most challenging cancer problem, due to its structure of cells in human body. In which most of tissues or cells are overlapping on one another. Now-a-days, the use of images processing techniques is increased in growing medical field for its disease diagnosis, where the time factor plays important role. Detecting cancer within a time, increases the survival rate of patients. Many radiologists still use MRI only for assessment of superior sulcus tumors and in cases where invasion of spinal cord canal is suspected. MRI can detect and stage lung cancer and this method would be excellent of lung malignancies and other diseases.
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Supervised Blood Vessel Segmentation in Retinal Images Using Gray level and M...IJTET Journal
The segmentation of membranel blood vessels within the retina may be a essential step in designation of diabetic retinopathy during this paper, gift a replacement methodology for mechanically segmenting blood vessels in retinal pictures. 2 techniques for segmenting retinal blood vessels, supported totally different image process techniques, square measure represented and their strengths and weaknesses square measure compared. This methodology uses a neural network (NN) theme for element classification and gray-level and moment invariants-based options for element illustration. The performance of every algorithmic program was tested on the STARE and DRIVE dataset. wide used for this purpose, since they contain retinal pictures and also the
vascular structures. Performance on each sets of check pictures is healthier than different existing pictures. The methodology
proves particularly correct for vessel detection in STARE pictures. This effectiveness and lustiness with totally different image conditions, is employed for simplicity and quick implementation. This methodology used for early detection of Diabetic Retinopathy (DR)
Diagnostic imaging /certified fixed orthodontic courses by Indian dental acad...Indian dental academy
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and offering a wide range of dental certified courses in different formats.
Diagnostic imaging / dental implant courses by Indian dental academy Indian dental academy
Description :
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
The Indian Dental Academy is the Leader in continuing dental education , training dentists in all aspects of dentistry and
offering a wide range of dental certified courses in different formats.for more details please visit
www.indiandentalacademy.com
Indian Dental Academy: will be one of the most relevant and exciting
training center with best faculty and flexible training programs
for dental professionals who wish to advance in their dental
practice,Offers certified courses in Dental
implants,Orthodontics,Endodontics,Cosmetic Dentistry, Prosthetic
Dentistry, Periodontics and General Dentistry.
AUTOMATIC TARGET DETECTION IN HYPERSPECTRAL IMAGES USING NEURAL NETWORKijistjournal
Spectral analysis of remotely sensed images provide the required information accurately even for small targets. Hence Hyperspectral imaging is being used which follows the technique of dividing images into bands. These Hyperspectral images find their applications in agriculture, biomedical, marine analysis, oil seeps detection etc. A Hyperspectral image contains many spectra, one for each individual point on the sample’s surface and in this project the required target on the Hyperspectral image is going to be detected and classified. Hyperspectral remote sensing image classification is a challenging problem because of its high dimensional inputs, many class outputs and limited availability of reference data. Therefore some powerful techniques to improve the accuracy of classification are required. The objective of our project is to reduce the dimensionality of the Hyperspectral image using Principal Component Analysis followed by classification using Neural Network. The project is to be implemented using MATLAB.
Spectral analysis of remotely sensed images provide the required information accurately even for small
targets. Hence Hyperspectral imaging is being used which follows the technique of dividing images into
bands. These Hyperspectral images find their applications in agriculture, biomedical, marine analysis, oil
seeps detection etc. A Hyperspectral image contains many spectra, one for each individual point on the
sample’s surface and in this project the required target on the Hyperspectral image is going to be detected
and classified. Hyperspectral remote sensing image classification is a challenging problem because of its
high dimensional inputs, many class outputs and limited availability of reference data. Therefore some
powerful techniques to improve the accuracy of classification are required. The objective of our project is
to reduce the dimensionality of the Hyperspectral image using Principal Component Analysis followed by
classification using Neural Network. The project is to be implemented using MATLAB.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Affordable Digital Upgrade for Medical Imaging - the Benefits and the Return ...Carestream
s your imaging facility using analog X-ray film and chemistry? Do you want to improve workflow and image quality - and save costs? Watch this informative presentation that explains the improvements in workflow and image quality, and shares results from an independent study by NHS UK on the measurable results in productivity. You can learn more about Carestream's affordable digital upgrade solutions here https://www.carestream.com/en/us/medical/dr-systems/mobile-x-ray/dr-retrofit-solutions #analogtodigital #digitalupgrade #affordabledigitalimaging #crtodr #medicalimaging #xrayimaging #diagnosticimaging #carestreamtalks
Dose Efficient Dual Energy Subtraction Radiography - Theory of OperationsCarestream
Dual energy digital radiography is an imaging technique that takes advantage of the differential, energy-dependent absorption properties of bone and soft tissue structures in human anatomy. By capturing two radiographic images of a patient in rapid succession, one at a relatively lower energy X-ray exposure and a second at a relatively higher energy, it is possible to mathematically derive a soft tissue-only image with bone structures removed, and a corresponding bone-only image. Read the white paper.
Special Report: Challenges and Solutions in Pediatric X-rayCarestream
Now more than ever, there is widespread focus on
the level of radiation received by pediatric patients
during imaging. In this special report, we explore both the challenges and potential solutions in contemporary pediatric imaging.
Special Report: Getting the Optimal Return on X-ray EquipmentCarestream
Radiology administrators need to meticulously analyze their spending to get the best possible return on their investment in medical imaging equipment. In this special report, we explore several approaches to get the maximum return on this important capital investment.
The Pursuit of Excellence in Image QualityCarestream
The accuracy of a medical diagnosis can only be as solid as the quality of the X-ray images. In this special report, we look at several ways that imaging facilities can improve their ability to capture pristine radiographs.
Whitepaper: Healthcare Data Migration - Top 10 Questions Carestream
Healthcare data migration is a challenging and critical undertaking. What do IT managers need to know before getting started? Read our white paper on the top 10 questions – and answers – you need to know before starting a healthcare data migration.
Whitepaper: Image Quality Impact of SmartGrid Processing in Bedside Chest Ima...Carestream
Scattered radiation is known to degrade image quality in
diagnostic X-ray imaging. A new image processing tool, SmartGrid, has been developed that compensates for the effects of X-ray scatter in an image, and produces results comparable to those of a physical antiscatter grid. Read the white paper to learn more.
La Sociedad Española de Radiología Médica (SERAM) ha publicado recientemente el documento “Guía para la renovación y actualización tecnológica en radiología”, en el que se hace un análisis de la situación de los equipos de imagen médica en España.
When evaluating cloud-based services, no issue is more
critical than data security. Cloud-based services today can
be compared to internet banking. Consumers were initially
afraid that online banking would make them more vulnerable
to fraud or identity theft. But as online security technologies
and processes have improved, online banking is now
actually safer than getting paper statements in the mail.
Sunway Medical Centre Installs CARESTREAM Vue PACS to Streamline Imaging Proc...Carestream
Sunway Medical Centre in Malaysia replaced its legacy solution with a CARESTREAM Vue PACS to gain new innovative features and functionality. The radiology department is using Vue PACS to help provide better patient care,
enhance clinical accuracy, and improve productivity.
White Paper: The Benefits of Mobile X-rays in Thoracic and Cardiac CareCarestream
Liverpool Heart & Chest Hospital authored this study/article on the indications and common problems for performing mobile chest radiography, the benefits of using CARESTREAM DRX-Revolution digital mobile machines, and the importance of using a structured technique to achieve an optimum mobile chest image. It also explores the hybrid examination currently utilised at LHCH in performing PA mobile chest radiographs on thoracic patients in the ward environment. For more information on CARESTREAM's mobile x-ray systems, visit http://www.carestream.com/motion-mobile/
Study: University Clinic, Regensburg, Evaluates Smart Flow in UltrasoundCarestream
The University Clinic, Regensburg, evaluated the Touch Prime Ultrasound System's Smart Flow technology and its touch screen user interface. The university documented Improvements in presentation of flow, and ease of functionality.
Financial Implications for Integrating Carestream OnSight 3D Extremity System...Carestream
Carestream Health commissioned a working group of surgeons and administrators from four leading orthopedic practices to
evaluate the clinical application and economic impact of the OnSight 3D Extremity System. This paper outlines the results of that working group’s findings, including specific economic models for practices of various sizes and throughputs.
To improve value and minimize patient exposure to ionizing
radiation, healthcare providers’ use of medical imaging must
be prudent and appropriate. The cornerstone of value-based
imaging is technology that provides broad access to patient
reports and images, enhancing communications among
physicians and with the patient while protecting patient data.
This is the role of the enterprise viewer. www.carestream.com/motion
Evaluating Enterprise Clinical Data-Management Systems at RSNA 2016Carestream
What are the essential capabilities to look for in an enterprise imaging system? It's complicated, but Carestream can help. Download and complete this checklist to rate each system you're considering. Then bring it to the Carestream booth in the South Hall at RSNA2016. We'll have a conversation over a fresh cup of coffee.
3 Reasons to Visit Carestream at RSNA2016 #RNSA16Carestream
Going to RSNA 2016? Here's three reasons why radiologists and health IT professionals will find it worthwhile to visit Carestream's booth in the South Hall at the show.
Whitepaper: Leveraging the Cloud to Enhance an Enterprise Imaging StrategyCarestream
What is the cloud's future in imaging?
Enterprise imaging strategies are front and center in healthcare IT these days. The increasing sophistication of imaging technology has resulted in substantial increases in imaging data. The upside of this increase is that clinicians have more imaging information available to aid in diagnosis and treatment. www.carestream.com/cloud
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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1. 1
Technical Brief Series
The most powerful diagnostic image
processing software from Carestream Health
DIRECTVIEW EVP Plus Software
Author: Jacqueline Gallet, PhD
Summary
Acquiring radiographic images by means of either Computed Radiography (CR) or Digital
Radiography (DR) enables image processing algorithms to exploit the full dynamic range
of the original digital exposure data. Carestream Health has developed its most powerful
diagnostic image processing software, DIRECTVIEW EVP Plus Software, available for many
of its DIRECTVIEW Systems.
In summary, EVP Plus performed exceptionally well in the following areas as compared to
previously patented image processing software such as Perceptual Tone-Scale (PTS), and
Enhanced Visualization Processing software (EVP):
• Significantly preferred image rendering
• Statistically better diagnostic quality for a broad range of exams
EVP Plus enables users to automatically render images without a priori knowledge of exam
or body-part. In particular, multiple exposures (several images acquired on the same cassette)
can be readily accommodated and processed independently. Workflow improvements can
also be expected because of these new features. Ease-of- use and exam independency with
intuitive controls marks this software as an upcoming in diagnostic image processing.
2. 2
The Well Known Problem
X-rays are produced by the tube head consisting of a rotating tungsten anode, a filament
emitting heat electrons, and an electrostatic cup focusing the heat electrons onto the anode
to an area called the focal spot. X-rays are produced by the interaction of the heat electrons
with the base material, tungsten, at the location of the focal spot. In order to control the
x-ray beam appropriately such that only x-rays within a restricted area are used for imaging
the patient anatomy, beam limiting devices are placed at the exit of the tube head. Beam
limiting devices are called collimators and are usually composed of at least four adjustable
lead blades located in the same plane forming a rectangular region of interest. Opposite
blades are parallel to each other. This collimated region of interest can now define the body
part to be radiographed. X-rays then traverse the body part within this restricted area
defined by the collimator blades, to reach the imaging detector.
The area of the image from the edge of the collimator blades to the outer edge of the
available image field does not contribute useful information to the image formation process.
Detection of the collimator edge is therefore important in order to select and properly render
the useable image area. Factors that can affect proper detection is collimator blade design,
scatter radiation due to patient anatomy, and patient positioning within the image field.
Previous image processing such as PTS and EVP required three parameters, in three separate
steps, to be specified for image viewing. It was necessary to designate the body part being
imaged in order for the image processing to render the optimal image quality according to
the specific anatomical region image parameters (IP). Image processing was also dependent
on an array of multi-variate parameters composed of dependent and independent image
quality variables. In modifying one parameter, other dependent variables were likely
changed, making the selection of suitable image processing parameters a long and
complex task.
Furthermore, the designation of the body part for the appropriate image rendering is
a multi-step process that can take valuable time especially with trauma cases requiring
immediate imaging. Keystroke errors can be made with the consequence of having to
enter a few additional keystrokes impeding flow within the radiology department.
EVP Plus was developed by Carestream Health to address these issues. Developed for its
family of DirectView digital and computed radiography systems, EVP Plus offers image
rendering without requiring a priori knowledge of anatomical body part within a
well-defined collimated boundary.
3. 3
EVP Plus Image Processing as the Solution
DIRECTVIEW EVP Plus Software simplifies workflow, provides easy-to-use controls and
processes images composed of several views obtained from one cassette. Each image
within the image field is processed separately to obtain the highest image quality for each.
In addition, EVP Plus can present a rendered image without knowing a priori the body part
being imaged.
The EVP Plus imaging chain begins with the image acquisition from either DIRECTVIEW CR
or DR devices (Figure 1). These images are subsequently segmented for the purpose of
defining the relevant image anatomy and exposure fields. Unique rendering parameters are
generated for each image, including each image in a multiple exposed field.
The process of rendering parameters is accomplished by extracting histogram features
from the image or sub-image and applying an appropriate rendering prediction model
which yields the rendering parameters. The image is decomposed into appropriate multiple
frequency bands and the frequency-based rendering parameters are applied as gain
factors. If noise suppression is required, the highest frequency band is adjusted according to
appropriate exam dependent gain controls. The final image is reconstructed by recombining
all frequency bands and applying the tone scale. Lastly, the black surround mask is applied.
EVP Plus also automatically identifies multiple radiation fields in an image and has the
capability to apply a mask around each field. Each field is processed and rendered as a
unique image.
The role of segmentation is to identify the exposure field in the image and define the
relevant anatomy that will serve as input into the rendering process. Through the process of
defining the collimator blades, the segmentation process is able to exclude the low-signal or
foreground collimator blades that contain no useful diagnostic information. After defining
the exposure fields, the segmentation processing finds regions of direct exposure – where
x-ray photons are absorbed without attenuation by the imaging receptor. This information,
together with the foreground information, enables the processing to focus on patient
anatomy only. The final rendering optimally uses the full dynamic range of the output
display, whether hard or soft copy, in a way that maximizes the information presented in
the image while not using any output dynamic range on irrelevant image regions such as
foreground and regions of direct exposure.
Figure 1 EVP Plus image processing chain
Image Aquisition
Image
Segmentation
Rendering
Parameter
Generation
Frequency
Decomposition
Enhancement &
Reconstruction
Tone Scale
Application
Black Surround
Masking
4. 4
Clinical Evaluation of EVP Plus
In a controlled clinical study, five board-certified radiologists and one senior resident
independently rated 152 image pairs composed of CR and DR images with and without
EVP Plus, for a total of 1824 images scored. Sample images were selected from among 15
principle examination types (Table 1). Examinations of the type ‘Upper Extremities’, ‘Lower
Extremities’ or ‘Skull’ included specific body parts such as fibula, femur, tibia, humerus or
nasal bones, as an example.
Images were viewed on dual-head NDS Axis III 3 MP monochrome diagnostic quality flat
panel displays. The displays were calibrated according to the gray scale display function
(GSDF) specification of the DICOM standard. Flat panel displays were located in a low-
ambient reading room replicating normal diagnostic reading conditions. Each observer was
provided with background information regarding the purpose of the study, the significance
of the rating scales, and sufficient software application training. The evaluation software
enabled the radiologist to zoom, pan and simultaneously display image pairs for direct
comparison.
The evaluation software displayed the ‘A’ image on the left flat panel display and the ‘B’
image on the right flat panel display. The radiologists were then asked to select a diagnostic
quality rating for the ‘A’ image and then for the ‘B’ image using a 9-point diagnostic quality
scale as shown in Table 2. The scale captures the overall diagnostic quality of the displayed
image pair such that differences in diagnostic quality can be measured and compared
meaningfully.
Once the diagnostic image quality ratings were completed, a 9-point preference rating scale
was utilized (Table 3) which measured the preference of image ‘B’ relative to image ‘A’.
A score of 0 indicated there was no preference between the ‘A’ and ‘B’ image. This scale
quantifies the readers’ preference, which is a particularly useful quantity when diagnosis
might not be obviously impacted.
Table 1 The 15 principle examination types selected for this study.
Abdomen
Elbow
Pediatric Chest
Lumbar Spine
Shoulder
Chest
Knee
Pediatric Abdomen
Lower Extremities
Thoracic Spine
Cervical Spine
Hip/Pelvis
Portable Chest
Skull
Upper Extremities
Table 2 Diagnostic image quality scale
Very Satisfied9
8
7
6
5
4
3
2
1
Optimal for evaluating the
appropriate category of information
Acceptable for interpretation;
no loss of information
Sub-optimal image, bordering on loss
of information, subtle abnormalities
could be lost
Poor image that impairs interpretation,
important information could be lost,
the interpreter would consider
reprocessing
Inadequate for diagnosis, definite loss
of information, the image should be
reprocessed
Satisfied
Niether Satisfied
or Dissatisfied
Dissatisfied
Very Dissatisfied
Table 3 Preference rating scale
‘A’ image Markedly better
‘A’ image Clearly better
‘A’ image Somewhat better
‘A’ image Slightly better
NO Difference
‘A’ image Slightly worse
‘A’ image Somewhat worse
‘A’ image Clearly worse
‘A’ image Markedly worse
Diagnosis likely altered
Diagnosis might be altered
Diagnosis should be the same
Diagnosis will be the same
Diagnosis will be the same
Diagnosis should be the same
Diagnosis might be altered
Diagnosis likely altered
4
3
2
1
0
-1
-2
-3
-4
5. 5
The Results
A rating of 7, 8, or 9 on the 9-point diagnostic image quality scale indicated that a
participating radiologist considered an image ‘acceptable for interpretation’ with ‘no loss
of information’ or ‘optimal’ for clinical evaluation. On this 9-point scale, the percent rated
7 or better was more than 67% for the EVP Plus images compared to 49% for the Control
images. The median rating for the EVP Plus and Control images was 7, indicating that both
were ‘acceptable for interpretation’ with ‘no loss of information’ as shown in Figure 2.
A rating of 1, 2, or 3 on the 9-point diagnostic image quality scale indicated that a
participating radiologist considered an image so ‘poor’ that it ‘impairs interpretation’ and
that ‘important information could be lost’. On the 9-point scale, the percent rated 3 or less
was 4% for EVP Plus images and more than 10% for the Control images, a clear indication
that EVP Plus can render superior diagnostic quality images.
Figure 2 Digital radiographic images with EVP Plus compared to Control images. The mean is 7 indicating that both
were ‘acceptable for interpretation’ with ‘no loss of information’.
0
50
100
150
200
250
300
350
400
1 2 3 4 5 6 7 8 9
Diagnostic quality scores
Control
EVP Plus
CR and DR Diagnostic Quality Scores
6. 6
Another way to view the data is to look at the differences in diagnostic quality ratings for
each image pair, where 0 indicates no difference between the Control and EVP Plus images.
A negative rating on the preference scale indicated a lower preference for the Control image
and a positive value indicated a preference for the EVP Plus images. In this study, the EVP
Plus images were preferred in about 52% (p<0.0001) of the cases (Figure 3). Generally
consistent results were obtained across all examination types studied.
CR and DR Preference Counts
0
50
100
150
200
250
300
350
400
450
500
-4 -3 -2 -1 0 1 2 3 4
Preference rating scale
Figure 3 Generally consistent results were obtained across all examination types studied.
7. 7
The full dataset was comprised of both examindependent and exam-dependent images.
Examindependent images were images rendered with no body part pre-selected. Exam-
dependent images were images rendered with the three-step body part selection process.
Both the Control images and the EVP Plus images could be either acquired with or without
the body part selection process. Selecting only the exam-independent images and their
respective preference and image quality scores from the full dataset formed a specific subset.
Figure 4 represents a histogram of the digital radiographic images with the corresponding
diagnostic image quality scale ratings.
CR and DR Exam Independent Scores
0
50
100
150
200
250
300
350
1 2 3 4 5 6 7 8 9
Diagnostic Image Quality Rating
Control
EVP Plus
Figure 4 Subset containing only the exam-independent images from both the CR and DR systems. EVP Plus was
preferred in over 74% of the cases. A rating of 7 or higher indicated a preference for EVP Plus.
8. 8
A total of 726 DR and CR images were scored from this subset evaluated by 5 board-
certified radiologists and 1 senior resident. The mean was 7 indicating that images were
‘acceptable for interpretation’ with ‘no loss of information’. Image quality for EVP Plus was
preferred in more than 74% of the cases (p<0.0001). Results graphed in Figure 5 indicated
that over 52% of the EVP Plus images were preferred (p<0.0001).
Preference Counts
0
20
40
60
80
100
120
140
160
180
200
-4 -3 -2 -1 0 1 2 3 4
Preference rating scale
Figure 5 Preference ratings for the exam-independent images. Ratings equal to or greater than 1 indicated EVP Plus
images were preferred over the Control images (p<0.0001).
Conclusion
Five board certified radiologists and one senior resident rated images processed by EVP Plus
clearly superior in terms of diagnostic preference quality compared to images processed
by the current base software available for CR and DR products. The results were largely
independent of examination type.
While demonstrating the diagnostic preference quality of EVP Plus images is not
equivalent to demonstrating that EVP Plus images improve diagnostic accuracy or
radiologist productivity, these preliminary results strongly suggest the likelihood of these
desired outcomes.
In summary, the commercial availability of the DIRECTVIEW EVP Plus software algorithm
represents another significant step towards optimally exploiting the full range of the
exposure data captured by the DIRECTVIEW digital capturing systems.