A MEMS BASED OPTICAL COHERENCE TOMOGRAPHY IMAGING SYSTEM AND OPTICAL BIOPSY PROBES FOR REAL-TIME, HIGH RESOLUTION IN-VIVO AND IN-VITRO 2-D OR 3-D IMAGING
A fully-functional, real-time optical coherence tomography (OCT) system based on a high-speed, gimbal-less micromachined scanning
mirror is presented. The designed MEMS control architecture allows the MEMS based imaging probes to be connected to a time-domain, a
Fourier domain or a spectral domain OCT system. Furthermore, a variety of probes optimized for specific laboratory or clinical
applications including various minimally invasive endoscopic, handheld or lab-bench mounted probes may be switched between effortlessly
and important driving parameters adjusted in real-time. In addition, artifact free imaging speeds of 33μs per voxel have been achieved
while imaging a 1.4mm×1.4mm×1.4mm region with 5μm×5μm×5μm sampling resolution (SD-OCT system.)
CrystalGuide flat fee surgical guide and triple scan - a new and effective pr...Michael Gross
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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
Cone beam computed tomography.DR. ANUBHUTI Dental Institute RIMS Anubhuti Singh
Cone beam computed tomography
Carm CT
Cone beam volume CT
Flat panel CT
Extra-oral imaging system specifically designed for three dimensional imaging of the oral and maxillofacial structures
ALARA Principle
Principal of cbct- Field of view
voxel
CrystalGuide flat fee surgical guide and triple scan - a new and effective pr...Michael Gross
CrystalGuide flat fee surgical guide and triple scan - a new and effective protocol for 3D planning and guided surgery of partially edentulous cases CrystalGuide - complete service for advanced 3D planning and guided surgery of dental implants
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
Cone beam computed tomography.DR. ANUBHUTI Dental Institute RIMS Anubhuti Singh
Cone beam computed tomography
Carm CT
Cone beam volume CT
Flat panel CT
Extra-oral imaging system specifically designed for three dimensional imaging of the oral and maxillofacial structures
ALARA Principle
Principal of cbct- Field of view
voxel
Implementation of Lower Leg Bone Fracture Detection from X Ray Imagesijtsrd
A methodology and various techniques are presented for development of fracture detection system using digital image processing. This paper presents an implementation of bone fracture detection using medical X ray image. The goal of this paper is to generate a quick and diagnosis can save time, effort and cost as well as reduce errors. The main objective of this research is to classify the lower leg bone fracture using X ray image because this type of bone are the most commonly occur in bone. This paper classifies the two types of fracture Non fracture and fracture or Transverse fracture by using SVM classifier. The proposed system has basically five steps, namely, image acquisition, image pre processing, image segmentation, feature extraction and image classification. San Myint | Khaing Thinzar "Implementation of Lower Leg Bone Fracture Detection from X-Ray Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27957.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/27957/implementation-of-lower-leg-bone-fracture-detection-from-x-ray-images/san-myint
Osteoarthritis (OA) is the most common form of arthritis seen in aged or older populations. It is caused
because of a degeneration of articular cartilage, which functions as shock absorption cushion in knee joint. OA
also leads sliding of bones together, cause swelling, pain, eventually and loss of motion. Nowadays, magnetic
resonance imaging (MRI) technique is widely used in the progression of osteoarthritis diagnosis due to the ability
to display the contrast between bone and cartilage. Usually, analysis of MRI image is done manually by a
physician which is very unpredictable, subjective and time consuming. Hence, there is need to develop automated
system to reduce the processing time. In this paper, a new automatic knee OA detection system based on feature
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etc. is extracted by using different image processing algorithms. This detection system consists of 4 stages, which
are pre-processing with ROI cropping, segmentation, feature extraction, and classification by neural network. This
technique results 98.5% of classification accuracy at training stage and 92% at testing stage.
Keywords — Artificial Neural Network (ANN), Gray Level Co-occurrence Matrix (GLCM),Knee
Joint, Magnetic Resonance Imaging (MRI), Osteoarthritis(OA).
principles, applications, advantages, disadvantages, guidelines, uses of cone beam computed tomography in the field of orthodontics and dentistry in general
Specialized radiographic techniques /certified fixed orthodontic courses by I...Indian dental academy
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Dental implants courses.for details pls visit www.indiandentalacademy.com ,or call
0091-9248678078
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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
High volume computational histopathology 3Scan3Scan
Light microscopy is the gold standard for investigating microscopic structures and
pathological alterations in both human and animal models of disease. However, due
to tedious manual interventions, quantification of histopathologic markers is
classically performed on only a few 2D tissue sections, thus restricting
measurements and observations to limited portions of the sample volume.
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Implementation of Lower Leg Bone Fracture Detection from X Ray Imagesijtsrd
A methodology and various techniques are presented for development of fracture detection system using digital image processing. This paper presents an implementation of bone fracture detection using medical X ray image. The goal of this paper is to generate a quick and diagnosis can save time, effort and cost as well as reduce errors. The main objective of this research is to classify the lower leg bone fracture using X ray image because this type of bone are the most commonly occur in bone. This paper classifies the two types of fracture Non fracture and fracture or Transverse fracture by using SVM classifier. The proposed system has basically five steps, namely, image acquisition, image pre processing, image segmentation, feature extraction and image classification. San Myint | Khaing Thinzar "Implementation of Lower Leg Bone Fracture Detection from X-Ray Images" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27957.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/27957/implementation-of-lower-leg-bone-fracture-detection-from-x-ray-images/san-myint
Osteoarthritis (OA) is the most common form of arthritis seen in aged or older populations. It is caused
because of a degeneration of articular cartilage, which functions as shock absorption cushion in knee joint. OA
also leads sliding of bones together, cause swelling, pain, eventually and loss of motion. Nowadays, magnetic
resonance imaging (MRI) technique is widely used in the progression of osteoarthritis diagnosis due to the ability
to display the contrast between bone and cartilage. Usually, analysis of MRI image is done manually by a
physician which is very unpredictable, subjective and time consuming. Hence, there is need to develop automated
system to reduce the processing time. In this paper, a new automatic knee OA detection system based on feature
extraction and artificial neural network is developed. The different features viz GLCM texture, statistical, shape
etc. is extracted by using different image processing algorithms. This detection system consists of 4 stages, which
are pre-processing with ROI cropping, segmentation, feature extraction, and classification by neural network. This
technique results 98.5% of classification accuracy at training stage and 92% at testing stage.
Keywords — Artificial Neural Network (ANN), Gray Level Co-occurrence Matrix (GLCM),Knee
Joint, Magnetic Resonance Imaging (MRI), Osteoarthritis(OA).
principles, applications, advantages, disadvantages, guidelines, uses of cone beam computed tomography in the field of orthodontics and dentistry in general
Specialized radiographic techniques /certified fixed orthodontic courses by I...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.
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Dental implants courses.for details pls visit www.indiandentalacademy.com ,or call
0091-9248678078
Application of 3D Modeling for Preoperative Planning and Intra Operative Navigation during Procedures on the Organs of Retroperitoneal Space by Alexey A Rozhentsov in Experimental Techniques in Urology & Nephrology
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
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Light microscopy is the gold standard for investigating microscopic structures and
pathological alterations in both human and animal models of disease. However, due
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A MEMS BASED OPTICAL COHERENCE TOMOGRAPHY IMAGING SYSTEM AND OPTICAL BIOPSY PROBES FOR REAL-TIME, HIGH RESOLUTION IN-VIVO AND IN-VITRO 2-D OR 3-D IMAGING
1. Daniel T. McCormick email: dmcc@eecs.berkeley.edu
497 Cory Hall, University of California, Berkeley, CA 94720
1
A MEMS BASED OPTICAL COHERENCE TOMOGRAPHY IMAGING SYSTEM AND OPTICAL BIOPSY
PROBES FOR REAL-TIME, HIGH RESOLUTION IN-VIVO AND IN-VITRO 2-D OR 3-D IMAGING
Daniel T. McCormick1,2,3
, Woonggyu Jung4,5
, Yeh-Chan Ahn4
, Veljko Milanović3
, Zhongping Chen4,5
and Norman C. Tien6
1
Berkeley Sensor and Actuator Center
Department of Electrical Engineering and Computer Science, University of California, Berkeley
2
Advanced MEMS Inc.; Berkeley, CA 3
Adriatic Research Institute; Berkeley, CA
4
Beckman Laser Institute
5
Department of Biomedical Engineering, University of California, Irvine
6
Department of Electrical Engineering and Computer Science, Case Western Reserve University
A fully-functional, real-time optical coherence tomography (OCT) system based on a high-speed, gimbal-less micromachined scanning
mirror is presented. The designed MEMS control architecture allows the MEMS based imaging probes to be connected to a time-domain, a
Fourier domain or a spectral domain OCT system. Furthermore, a variety of probes optimized for specific laboratory or clinical
applications including various minimally invasive endoscopic, handheld or lab-bench mounted probes may be switched between effortlessly
and important driving parameters adjusted in real-time. In addition, artifact free imaging speeds of 33µs per voxel have been achieved
while imaging a 1.4mm×1.4mm×1.4mm region with 5µm×5µm×5µm sampling resolution (SD-OCT system.)
In this work we present our latest “optical biopsy” system realized via MEMS based optical coherence tomography imaging. We also
present a variety of MEMS probes, which have each been designed for a specific application area. By combining the unique advantages of
time-domain, Fourier domain or spectral domain OCT systems with the properly optimized MEMS probe we are able to achieve truly
optimal results for specific applications. In some cases it is desirable to achieve maximum optical resolution; in others higher acquisition
rates or larger fields of view may be desired. Many parameters of the MEMS device and the optical probe must be selected at the time of
design, fabrication or assembly (such as the NA of lenses, number of lenses, size of the silicon die and the diameter of the scanning
aperture.) Other parameters may be adjusted on a case-by-case basis before an imaging session, such as the spacing of lenses. However,
these are all time consuming operations which require recalibration of the imaging probe. On the other hand using the custom MEMS
controller it is possible to adjust many drive parameters and make decisions regarding certain trade-offs in real-time. Therefore, the
clinician can select the best probe for a specific application and still make some choices requiring field of view, image resolution band
acquisition speed continuously during an imaging session.
Optical coherence tomography is an imaging modality capable of providing high resolution cross-sectional images of tissue and other
materials [1]. A schematic diagram of a simplified version of the 3D MEMS Time-Domain OCT system is provided in Figure 1. Light
from a low coherence source (1310nm, bandwidth of 70nm) is coupled into a fiber-optic Michelson interferometer. A rapid-scanning
optical delay (RSOD) in the reference arm provides a variable optical path length utilizing a grating to separately control the phase and
group delays; in the sample arm the endoscopic MEMS scanning probe directs a focused laser onto the sample surface. The probe contains
an optical system optimized for the specific imaging application; the MEMS device and the optics in the probe determine the lateral
resolutions while the coherence length of the source determines the resolution in the depth direction.
The MEMS controller is an independent micro-processor controlled unit which interfaces to the OCT image acquisition system. The
OCT hardware provides information regarding the scan setup and timing as well as a sampling sync pulse. Stored data describing the
connected device is employed to determine proper filtering, phase delays, offsets etc. based on the requested scan pattern. The signals are
generated by two on-board DSPs. Following the amplification stages (150V maximum output) protection circuitry is incorporated to insure
patient safety. An important note is that during normal imaging the micro-mirror is driven in a point-to-point manner, such that when the
fringe-pattern sampling is performed the mirror is stationary thereby eliminating motion artifacts. Also, the software may compensate for
lens distortions or easily compute a map to scan a flat surface rather than an arc et cetera.
The MEMS scanning actuators are monolithic, single crystal silicon (SCS), 2-dimensional, gimbal-less, vertical comb-driven
structures. The devices are designed and realized in a self-aligned DRIE fabrication process on SOI [2, 3]; the die for endoscopic packages
has an area footprint of 2.6mm×3.3mm. The mirrors are fabricated in a separate SOI process and later bonded to the actuator. This design
approach allows the mirror and the actuator to be independently optimized, in addition, the MEMS and optical designers have a much
broader design space when making trade-offs between mirror size and speed. The apertures are metalized, low-inertia, SCS structures with
a thinned mirror plate (2-5µm), thick stiffening trusses (~20µm) and a tall standoff pedestal (~120µm). A variety of scanners with 800µm,
1mm, 1.2mm, 1.6mm and 2.0mm mirror diameters have been realized. Images of scanners with bonded mirrors are presented in Fig. 1. In
Fig. 2 sample FD-OCT images are shown while Fig. 3 presents images from the TD-OCT, SD-ODT and SD-OCT systems.
Numerous in-vivo and in-vitro images have been collected of healthy and diseased tissue. We have also employed the system in
unguided imaging of hamster cheek poach tissue, where sub 500µm regions of dysplasia have been identified in real-time (and later
verified via histology) by experts in the field. It is believed that the “optical biopsy” capability provided by the minimally invasive
endoscopic probes as well as hand-held and laboratory imaging probes developed from this work will continue to have a more and
more significant impact on clinical treatment and medical research.
2. ACKNOWLEDGEMENTS:
This research is supported by grants from the NSF (BES 86924) and NIH (NCI-91717).
2
Figure 1. (left) A simplified schematic diagram of the time-domain OCT system employing an endoscopic probe (center) A stereo microscope micrograph of a fully
assembled, functional endoscopic scanner. The die is 2.8mm×3.3mm with a 1mm bonded mirror. (right, top) A stereo microscope micrograph of a larger actuator
die with a 800µm mirror attached. (right, bottom) An image of two scanners with different mirror apertures ready to be bonded into an endoscopic package, a US
dime is included for size reference.
Figure 2. (left) An image of healthy rabbit trachea from the Fourier domain OCT system showing the (e) epithelium, (s) sub-mucosa, (g) glands and (c) cartilage,
the sampling resolution is 10µm×10µm×10µm and the volume imaged is 1.0mm×1.0mm×1.4mm (a single slice is shown.) (right, top) Sequential cross-sectional
images taken around the diameter of the trachea of a healthy rabbit at a specific location. (right, bottom) 3-D reconstructions of tissue from the same rabbit
trachea.
Figure 3. (left) A 3-D reconstruction from our time domain OCT system of a section of hamster cheek poach containing a diseased region at the center; the imaged
region is 2mm×2mm×1.4mm with a sampling resolution of 10µm×10µm×5µm. (center, left) An image of a human finger from the spectral domain OCT system with
thresh-holding applied to clearly visualize the sweat-glands which have a diameter of approximately 20µm; (center, right) an image of a normal section of hamster
cheek poach tissue. The sampling resolution is 5µm×5µm×5µm and the volume imaged is 1.0mm×1.0mm×1.4mm. (right) Structural (OCT) and flow (ODT)
images of fluid-flow around a bend in a micro-channel.
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Fujimoto, Science 254, 1178 (1991).
[2] V. Milanović, IEEE/ASME J. MEMS. 13, 19, (2004).
[3] V. Milanović, D. T. McCormick, G. Matus, IEEE J. STQE., 10, 462 (2004).
Video of real-time image collection as well as 3-D renderings which may be manipulated in real-time and samples of various
MEMS based probes will be made available at the conference.