1. Articles from Ammu Prakash

    1-3 of 3
    1. Detection of Atherosclerotic Plaque from Optical Coherence Tomography Images Using Texture-Based Segmentation

      Detection of Atherosclerotic Plaque from Optical Coherence Tomography Images Using Texture-Based Segmentation

      Detection of atherosclerotic plaque from optical coherence tomography (OCT) images by visual inspection is difficult. We developed a texture based segmentation method to identify atherosclerotic plaque automatically from OCT images without any reliance on visual inspection. Our method involves extraction of texture statistical features (spatial gray level dependence matrix method), application of an unsupervised clustering algorithm (K-means) on these features, and mapping of the clustered regions: background, plaque, vascular tissue and an OCT degraded signal region in feature-space, back to the actual image. We verified the validity of our results by visual comparison to photographs of the vascular tissue with ...

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    2. Texture based segmentation method to detect atherosclerotic plaque from optical tomography images

      Texture based segmentation method to detect atherosclerotic plaque from optical tomography images

      Optical coherence tomography (OCT) imaging has been widely employed in assessing cardiovascular disease. Atherosclerosis is one of the major cause cardio vascular diseases. However visual detection of atherosclerotic plaque from OCT images is often limited and further complicated by high frame rates. We developed a texture based segmentation method to automatically detect plaque and non plaque regions from OCT images. To verify our results we compared them to photographs of the vascular tissue with atherosclerotic plaque that we used to generate the OCT images. Our results show a close match with photographs of vascular tissue with atherosclerotic plaque. Our texture ...

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    3. Detection of atherosclerotic vascular tissue from optical coherence tomography images

      Detection of atherosclerotic vascular tissue from optical coherence tomography images

      Atherosclerotic coronary artery disease continues to be one of the major causes of mortality. Prevention, diagnosis and treatment of atherosclerotic coronary artery disease are dependent on the detection of high risk atherosclerotic plaque. As age is one of the most important risk factors, atherosclerosis worsens steadily with increasing age. Automatic characterization of atherosclerotic plaque using the optical coherence tomography (OCT) images provides a powerful tool to classify patients with high risk plaque. In this study we develop an automatic classifier to detect atherosclerotic plaque in young and old Watanabe heritable hyperlipidemic (WHHL) rabbits, using OCT images without reliance on visual ...

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    1-3 of 3
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  2. Topics in the News

    1. (3 articles) University of Manitoba
    2. (3 articles) National Research Council Canada
    3. (3 articles) Sherif S. Sherif
    4. (3 articles) Mark D. Hewko
    5. (3 articles) Michael G. Sowa
    6. (3 articles) Ammu Prakash
    7. (2 articles) Massachusetts General Hospital
    8. (1 articles) American Heart Association
    9. (1 articles) Harvard University
    10. (1 articles) The Chinese University of Hong Kong
    11. (1 articles) University of Miami
    12. (1 articles) VU University Amsterdam
    13. (1 articles) David A. Boas
    14. (1 articles) Brett E. Bouma
    15. (1 articles) Johannes F. de Boer
    16. (1 articles) Frank D. Verbraak
    17. (1 articles) Apollo Medical Optics
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    Detection of atherosclerotic vascular tissue from optical coherence tomography images Texture based segmentation method to detect atherosclerotic plaque from optical tomography images Detection of Atherosclerotic Plaque from Optical Coherence Tomography Images Using Texture-Based Segmentation Optical Coherence Tomography: Critical Tool to Manage Expectations after Cataract Extraction Improving the characterization of ex vivo human brain optical properties using high numerical aperture optical coherence tomography by spatially constraining the confocal parameters Choroidal, macular and ganglion cell layer thickness assessment in Caucasian children measured with spectral domain optical coherence tomography Examination of retinal vascular density changes via optical coherence tomography angiography in patients with glaucoma 3D reconstruction of coronary artery bifurcations from coronary angiography and optical coherence tomography: feasibility, validation, and reproducibility Age- and refraction-related changes in anterior segment anatomical structures measured by swept-source anterior segment OCT The evaluation of juvenile ocular hypertension by optical coherence tomography angiography Superficial capillary perfusion on optical coherence tomography angiography differentiates moderate and severe nonproliferative diabetic retinopathy Autologous neurosensory free-flap retinal transplantation for refractory chronic macular hole—outcomes evaluated by OCT, microperimetry, and multifocal electroretinography