Automated MRI based 3D Joint Space Analysis
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This document describes a study that evaluated a fully automated method for segmenting the femur, tibia, and patella from MRI scans of knees to analyze joint space width as a biomarker for osteoarthritis (OA). The method successfully segmented bones in 245 of 246 scans. Analysis found that joint space width correlated with clinical OA symptoms and change in joint space width correlated with change in symptoms. Future work will further analyze the full dataset and validate the automated method.
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![José G. Tamez-Peña, Saara Totterman and Patricia González 3D METHOD FOR THE AUTOMATED ANALYSIS OF THE KNEE JOINT SPACE: MRI DATA FROM THE OSTEOARTHRITIS INITIATIVE Rochester NY ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Figure 3: Top, scatter plot of Baseline Total WOMAC and 3D Medial Joint Space Width (3DMJSW). Middle, Observed Annual Change in 3DMJSW and Total WOMAC. Bottom, Observed change in 3DMJSW between the 12 Month observation and the 18 Month Observation vs. Total WOMAC. Figure 1: OAI 3D DESS series was used to create a knee atlas. The bones: Femur, tibia and patella were traced and then regions of interest were defined for quantitative analysis of the joint space. Figure 2: The atlas was tracked to all the subjects. Once the atlas was mapped into each time point. The segmentation was inspected by a train observed.](https://image.slidesharecdn.com/oarsi2008oaiposter6182008-090225092628-phpapp02/85/Automated-MRI-based-3D-Joint-Space-Analysis-1-320.jpg)
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This document describes a computer program developed to visualize and interact with 3D models of the main anatomical structures of the female pelvis. The program allows the 3D structures to be represented together with sectional images from corpse sections and MRI scans in the three anatomical planes. The 3D models were reconstructed from serial sections of a cadaver from the Visible Human Project and from high-resolution MRI scans. The program provides an intuitive interface for observing the pelvic structures in 3D and represents an important training tool for medical students and gynecology specialists.
Computational Dual-system Imaging Processing Methods for Lumbar Spine Specime...
Computational Dual-system Imaging Processing Methods for Lumbar Spine Specime...BRNSSPublicationHubI
This document describes a study comparing two computational systems, Matlab and GNU-Octave, for imaging processing of lumbar spine specimens. Digital scans were taken of three cadaver spine specimens, producing point cloud data. Both Matlab and GNU-Octave used computer vision tools and image processing techniques to analyze the specimens and extract medical information. Results showed the utility of the two systems for tasks like visualizing vertebrae, separating anatomical parts, and identifying features like facets and ligaments. The study demonstrated the application of these computational methods for medical physics and biomechanical analysis of spine specimens.Arthroscopic management of massive rotator cuff tears an evaluation of debri...
Arthroscopic management of massive rotator cuff tears an evaluation of debri...Jorge W Torres Loaiza
1. This study evaluated the effectiveness of arthroscopic debridement, partial repair, and complete repair for massive rotator cuff tears involving at least three tendons.
2. All treatment groups showed significant improvement in functional and subjective outcomes from pre- to post-operation. However, complete repair resulted in significantly better outcomes compared to debridement and partial repair.
3. Re-tear rates were lower after complete repair (29%) compared to partial repair (53%). Patients who had an intact complete repair also had better functional scores than those with an intact partial repair.3d printing in orthopedics
3D printing has various applications in orthopedics including pre-operative planning, creating implants and prosthetics, and patient-specific instrumentation. The document discusses several studies that demonstrate benefits of 3D printing such as improved screw placement accuracy, reduced radiation exposure and operation time, and aiding complex surgical planning. Applications discussed include using 3D printed models and guides for fractures of the acromion, clavicle, humerus, elbow, wrist, and acetabulum.
ME547 FInal Report
This document presents the methods for a project modeling human gait using forward and inverse dynamics. It describes creating a 3-body model of the leg consisting of thigh, shank, and foot segments. Kinematic data from Winter et al. will be used to calculate joint positions, velocities and accelerations over the gait cycle. Forward dynamics will be used to model joint torques and forces during gait. Inverse dynamics will then calculate internal joint forces and stresses will be analyzed through finite element analysis. The objectives are to model both a human leg and prosthetic leg, compare their kinematics, forces and validate the results with literature to better understand discrepancies between natural and prosthetic gait.
WhitePaper Elaxto-Rheuma
This study investigated whether elastosonography can improve the reliability of ultrasound in measuring skin thickness in patients with systemic sclerosis. Twenty-two systemic sclerosis patients underwent ultrasound of the index finger using standard B-mode imaging alone and with superimposed elastosonography images. Intra-observer reliability was excellent whether using standard ultrasound alone (ICC 0.904) or with elastosonography (ICC 0.979). Inter-observer reliability was also higher with elastosonography (ICC 0.881) than standard ultrasound alone (ICC 0.726). Elastosonography helped identify the dermis-hypodermis interface, improving measurement reliability. This preliminary study provides evidence that elastoson
Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional ne...
Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional neural networks. Paper presented at the Workshop on Computational Biology at the International Conference on Machine Learning, Long Beach, USA, 2019.
V.KARTHIKEYAN PUBLISHED ARTICLE AA..
This document summarizes a research paper on estimating skeletal maturity through the Tanner and Whitehouse bone age assessment method. The paper presents a system for segmenting wrist bones from left hand radiographs. The system first preprocesses images using Gaussian filtering and grayscale conversion. Canny edge detection is then used to extract regions of interest, which are classified using an Iterative Dichotomiser 3 classifier. The Tanner and Whitehouse method is applied to assess bone age. The system was tested on 50 images with 96% accuracy for males and 98% accuracy for females.
AUTOMATED SEGMENTATION OF FLUORESCENT AND FUNDS IMAGES BASED ON RETINAL BLOOD...
ABSTRACT
Measurements of retinal blood vessel morphology have been shown to be related to the risk of cardiovascular diseases. The wrong identification of vessels may result in a large variation of these measurements, leading to a wrong clinical diagnosis. In this paper, we address the problem of automatically identifying true vessels as a post processing step to vascular structure segmentation. We model the segmented vascular structure as a vessel segment graph and formulate the problem of identifying vessels as one of finding the optimal forest in the graph given a set of constraints. We design a method to solve this optimization problem and evaluate it on a large real-world dataset of 2,446 retinal images. Experiment results are analyzed with respect to actual measurements of vessel morphology. The results show that the proposed approach is able to achieve 98.9% pixel precision and 98.7% recall of the true vessels for clean segmented retinal images, and remains robust even when the segmented image is noisy.
AUTOMATED SEGMENTATION OF FLUORESCENT AND FUNDS IMAGES BASED ON RETINAL BLOOD...
Measurements of retinal blood vessel morphology have been shown to be related to the risk of
cardiovascular diseases. The wrong identification of vessels may result in a large variation of these
measurements, leading to a wrong clinical diagnosis. In this paper, we address the problem of
automatically identifying true vessels as a post processing step to vascular structure segmentation. We
model the segmented vascular structure as a vessel segment graph and formulate the problem of identifying
vessels as one of finding the optimal forest in the graph given a set of constraints. We design a method to
solve this optimization problem and evaluate it on a large real-world dataset of 2,446 retinal images.
Experiment results are analyzed with respect to actual measurements of vessel morphology. The results
show that the proposed approach is able to achieve 98.9% pixel precision and 98.7% recall of the true
vessels for clean segmented retinal images, and remains robust even when the segmented image is noisy.
Reliability of Three-dimensional Photonic Scanner Anthropometry Performed by ...
This work explored the relative and absolute reliability of three-dimensional (3D) anthropometry performed by skilled and naïve operators using a fast, pose tolerant whole-body 3D scanner device. Upon skin landmarking by an experienced operator (skilled anthropometrist, SA), twelve subjects (six males and six females) underwent a thorough 3D anthropometric evaluation by the SA and two naïve operators (NA). Using the same landmarks, the SA also performed traditional anthropometry measurements. All measurements were taken twice. Relative reliability was tested with the Pearson’s correlation coefficient r and the intraclass correlation coefficient (ICC); absolute reliability was tested calculating the percentage coefficient of variation (%CV), the standard error of measurement (SEM), the percentage technical error of measurement (%TEM), and paired Student’s t test. Results showed that intra-operator relative and absolute reliability was excellent for all and most 3D measurement items, respectively, independently of the operator’s skill. Inter-operator (SA vs. individual NA) relative reliability was excellent as well; inter-operator absolute reliability was not acceptable for about only 30% of measurement items. Results of this work show that 3D anthropometry has strong potential in anthropometry due to high intrinsic reliability and less need for operator training vs. traditional anthropometry.
G04401051055
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity
3D Visualisation System Report
This document describes the development of a 3D stereoscopic tutorial on aortic anatomy and abdominal aortic aneurysms for medical students. CT scans of a normal abdomen and one with an aneurysm were used to create interactive 3D images using open source software. A tutorial was developed within presentation software, allowing students to view labeled 3D images and access additional information by clicking buttons. Student feedback was positive, with most agreeing the 3D visualization helped their understanding of anatomy and pathology compared to traditional classes. Areas like the heart, brain, and fractures were identified as being well-suited to the 3D approach.
IEEE Medical image Title and Abstract 2016
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BRAIN TUMOUR DETECTION AND CLASSIFICATION
This document summarizes a method for detecting and classifying brain tumors using MRI images. A deep learning model based on ResNet152 is trained on labeled MRI images to identify different types of tumors. The model extracts features from MRI images and classifies tumors with 97% accuracy on one dataset and 96% accuracy on another. ResNet152 performed better than other models tested. The method provides automated tumor detection and classification to help with diagnosis and treatment planning in neurosurgery and radiation oncology.
An approach for cross-modality guided quality enhancement of liver image
This paper proposes a novel approach for enhancing the contrast of CT liver images using MRI liver images as a guide. The approach has three steps: 1) transforming the CT and MRI images to the same range, 2) adjusting the CT histogram to match the MRI histogram, and 3) applying adaptive histogram equalization to the CT image using two sigmoid functions. Experimental results show that the proposed approach improves image quality metrics like contrast and brightness preservation compared to traditional techniques. Both subjective and objective assessments indicate the approach enhances image contrast while preserving mean brightness and details.
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Segmentation and Visualization of Human Coronary Artery Trees from CTA Datasets
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AUTOMATED SEGMENTATION OF FLUORESCENT AND FUNDS IMAGES BASED ON RETINAL BLOOD...
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An approach for cross-modality guided quality enhancement of liver image
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Abdominal trauma in pediatrics refers to injuries or damage to the abdominal organs in children. It can occur due to various causes such as falls, motor vehicle accidents, sports-related injuries, and physical abuse. Children are more vulnerable to abdominal trauma due to their unique anatomical and physiological characteristics. Signs and symptoms include abdominal pain, tenderness, distension, vomiting, and signs of shock. Diagnosis involves physical examination, imaging studies, and laboratory tests. Management depends on the severity and may involve conservative treatment or surgical intervention. Prevention is crucial in reducing the incidence of abdominal trauma in children.
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Learning objectives:
1. Define an electrocardiogram (ECG) and electrocardiography
2. Describe how dipoles generated by the heart produce the waveforms of the ECG
3. Describe the components of a normal electrocardiogram of a typical bipolar lead (limb II)
4. Differentiate between intervals and segments
5. Enlist some common indications for obtaining an ECG
6. Describe the flow of current around the heart during the cardiac cycle
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10. Define the mean QRS vector
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Study Resources:
1. Chapter 11, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 9, Human Physiology - From Cells to Systems, Lauralee Sherwood, 9th edition
3. Chapter 29, Ganong’s Review of Medical Physiology, 26th edition
4. Electrocardiogram, StatPearls - https://www.ncbi.nlm.nih.gov/books/NBK549803/
5. ECG in Medical Practice by ABM Abdullah, 4th edition
6. Chapter 3, Cardiology Explained, https://www.ncbi.nlm.nih.gov/books/NBK2214/
7. ECG Basics, http://www.nataliescasebook.com/tag/e-c-g-basics
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Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
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