1. Articles from M. Sonka

    1-5 of 5
    1. Assessment of Cardiac Allograft Vasculopathy from OCT Images: Automated Analysis is as Good as Expert-Guided Approach

      Assessment of Cardiac Allograft Vasculopathy from OCT Images: Automated Analysis is as Good as Expert-Guided Approach

      Purpose Cardiac Allograft Vasculopathy (CAV) is a frequent complication after heart transplantation (HTx). To help identify patients at risk of CAV, 3D quantitative analysis of coronary wall thickening is of major importance. Until now, substantial manual tracing effort was required. We report a fully automated approach using optical coherence tomography (OCT) imaging. Methods Lumen surface, intimal and medial layers were identified using our LOGISMOS segmentation framework. Coronary wall regions with layered appearance were automatically identified in each OCT frame using deep learning. These segmentation and classification approaches were newly combined in one fully automated system. The comparison between fully automated ...

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    2. Effect of Heart Rate on Early Progression of Cardiac Allograft Vasculopathy: A Prospective Study Using Highly Automated 3-D Optical Coherence Tomography Analysis

      Effect of Heart Rate on Early Progression of Cardiac Allograft Vasculopathy: A Prospective Study Using Highly Automated 3-D Optical Coherence Tomography Analysis

      Purpose Despite the controversial effect of elevated heart rate on progression of cardiac allograft vasculopathy (CAV), heart-rate-slowing agents are frequently prescribed with the assumption that higher heart rate predicts worse outcomes in cardiovascular disease. Methods This prospective 2-center trial investigated progression of CAV in 116 heart transplant (HTx) patients. Both baseline (1 month after HTx) and follow-up (12 months after HTx) examinations by coronary optical coherence tomography (OCT) were analyzed using highly automated 3D graph-based segmentation software. Mean heart rate was assessed by 24-hour ambulatory ECG monitoring at baseline and at 12-month follow-ups after HTx. Results During the first post-transplant ...

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    3. Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images

      Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images
      With the introduction of spectral-domain optical coherence tomography (OCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, the need for 3-D segmentation methods for processing such data is becoming increasingly important. We report a graph-theoretic segmentation method for the simultaneous segmentation of multiple 3-D surfaces that is guaranteed to be optimal with respect to the cost function and that is directly applicable to the segmentation of 3-D spectral OCT image data. We present two extensions to the general layered graph segmentation method: the ability to incorporate varying feasibility ...
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    4. Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search

      Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search
      Current techniques for segmenting macular optical coherence tomography (OCT) images have been 2-D in nature. Furthermore, commercially available OCT systems have only focused on segmenting a single layer of the retina, even though each intraretinal layer may be affected differently by disease. We report an automated approach for segmenting (anisotropic) 3-D macular OCT scans into five layers. Each macular OCT dataset consisted of six linear radial scans centered at the fovea. The six surfaces defining the five layers were identified on each 3-D composite image by transforming the segmentation task into that of finding a minimum-cost closed set in a ...
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    5. Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images.

      An optimal 3-D graph search approach designed for simultaneous multiple surface detection is extended to allow for varying smoothness and surface interaction constraints instead of the traditionally used constant constraints. We apply the method to the intraretinal layer segmentation of 24 3-D optical coherence tomography (OCT) images, learning the constraints from examples in a leave-one-subject-out fashion. Introducing the varying constraints decreased the mean unsigned border positioning errors (mean error of 7.3 +/- 3.7 microm using varying constraints compared to 8.3 +/- 4.9 microm using constant constraints and 8.2 +/- 3.5 microm for the inter-observer variability).
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    1-5 of 5
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  2. Topics in the News

    1. (4 articles) University of Iowa
    2. (1 articles) York University
    3. (1 articles) Massachusetts General Hospital
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    Intraretinal Layer Segmentation of Macular Optical Coherence Tomography Images Using Optimal 3-D Graph Search Automated 3-D Intraretinal Layer Segmentation of Macular Spectral-Domain Optical Coherence Tomography Images Effect of Heart Rate on Early Progression of Cardiac Allograft Vasculopathy: A Prospective Study Using Highly Automated 3-D Optical Coherence Tomography Analysis Assessment of Cardiac Allograft Vasculopathy from OCT Images: Automated Analysis is as Good as Expert-Guided Approach Three-dimensional opto-thermo-mechanical model for predicting photo-thermal optical coherence tomography responses in multilayer geometries The role of optical coherence tomography angiography in moderate and advanced primary open-angle glaucoma OCT-angiography follow-up of choroidal neovascularization treated with treat- and- extend aflibercept regimen to avoid over-treatment A Review of Spectroscopic and Non-Spectroscopic Techniques for Diagnosing Breast Cancer Collaboration Between Seno Medical and Cogmedix Drives GOLDEN Results for Innovative Medical Breast Imaging System Prediction of Retinal Ganglion Cell Counts Considering Various Displacement Methods From OCT-Derived Ganglion Cell-Inner Plexiform Layer Thickness Changes of blood flow in macular zone of patients with diabetic retinopathy at different stages evaluated by optical coherence tomography angiography Very late stent thrombosis lacking findings of the typical causes on optical coherence tomography in a patient with SARS-CoV-2