1. Madhusudhana Gargesha

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    1. Mentioned In 13 Articles

    2. Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation

      Three-dimensional registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation
      Evidence suggests high-resolution, high-contrast, 100 frames / s 100frames/s intravascular optical coherence tomography (IVOCT) can distinguish plaque types, but further validation is needed, especially for automated plaque characterization. We developed experimental and three-dimensional (3-D) registration methods to provide validation of IVOCT pullback volumes using microscopic, color, and fluorescent cryo-image volumes with optional registered cryo-histology. A specialized registration method matched IVOCT pullback images acquired in the catheter reference frame to a ...
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    3. Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks

      Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks
      Analysis of intravascular optical coherence tomography (IVOCT) data has potential for real-time in vivo plaque classification. We developed a processing pipeline on a three-dimensional local region of support for estimation of optical properties of atherosclerotic plaques from coronary artery, IVOCT pullbacks. Using realistic coronary artery disease phantoms, we determined insignificant differences in mean and standard deviation estimates between our pullback analyses and more conventional processing of stationary acquisitions with frame ...
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    4. 3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation

      3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation
      High resolution, 100 frames/sec intravascular optical coherence tomography (IVOCT) can distinguish plaque types, but further validation is needed, especially for automated plaque characterization. We developed experimental and 3D registration methods, to provide validation of IVOCT pullback volumes using microscopic, brightfield and fluorescent cryoimage volumes, with optional, exactly registered cryo-histology. The innovation was a method to match an IVOCT pullback images, acquired in the catheter reference frame, to a true ...
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    5. Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomography

      Parameter estimation of atherosclerotic tissue optical properties from three-dimensional intravascular optical coherence tomography
      We developed robust, three-dimensional methods, as opposed to traditional A-line analysis, for estimating the optical properties of calcified, fibrotic, and lipid atherosclerotic plaques from in vivo coronary artery intravascular optical coherence tomography clinical pullbacks. We estimated attenuation t and backscattered intensity I 0 from small volumes of interest annotated by experts in 35 pullbacks. Some results were as follows: noise reduction filtering was desirable, parallel line (PL) methods outperformed individual ...
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    6. Feature Of The Week 1/20/13: CWRU Demonstrates Automatic Stent Detection in Intravascular OCT Images Using Bagged Decision Trees

      Feature Of The Week 1/20/13: CWRU Demonstrates Automatic Stent Detection in Intravascular OCT Images Using Bagged Decision Trees
      Cardiovascular disease is the leading cause of death worldwide. Stent implantation by means of percutaneous coronary intervention is the most common coronary revascularization procedure. Intravascular Optical Coherence Tomography (iOCT) is the only imaging modality with the resolution and contrast necessary to enable accurate measurements of luminal architecture and neointima stent coverage. Manual analysis of intravascular OCT pullbacks is time consuming, limiting the size and number of studies that can be ...
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    7. Automatic stent detection in intravascular OCT images using bagged decision trees

      Automatic stent detection in intravascular OCT images using bagged decision trees
      Intravascular optical coherence tomography (iOCT) is being used to assess viability of new coronary artery stent designs. We developed a highly automated method for detecting stent struts and measuring tissue coverage. We trained a bagged decision trees classifier to classify candidate struts using features extracted from the images. With 12 best features identified by forward selection, recall (precision) were 90%94% (85%90%). Including struts deemed insufficiently bright for manual ...
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    8. Measuring hemodynamics in the developing heart tube with four-dimensional gated Doppler optical coherence tomography

      Measuring hemodynamics in the developing heart tube with four-dimensional gated Doppler optical coherence tomography
      ...kins Case Western Reserve University, Department of Pediatrics Cleveland, Ohio 44106 Lindsy Peterson, Shi Gu, Madhusudhana Gargesha, and David L. Wilson Case Western Reserve University, Department of Biomedical Engineeri...
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    9. Semiautomatic segmentation and quantification of calcified plaques in intracoronary optical coherence tomography images

      Semiautomatic segmentation and quantification of calcified plaques in intracoronary optical coherence tomography images
      ...er, Harrington-McLaughlin Heart & Vascular Institute, 11100 Euclid Avenue, Cleveland, Ohio 44106 Hui Wang and Madhusudhana Gargesha Case Western Reserve University, Department of Biomedical Engineering, 10900 Euclid Aven...
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    10. Feature Of The Week 7/11/09: High temporal resolution OCT using image-based retrospective gating

      Feature Of The Week 7/11/09: High temporal resolution OCT using image-based retrospective gating
      ...na Gargesha et al demonstrated high temporal resolution OCT using image-based retrospective gating . Courtesy Madhusudhana Gargesha.      Studying abnormalities during heart development in the embryo is crucial for the ...
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    11. 1-13 of 13
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  2. About Madhusudhana Gargesha

    Madhusudhana Gargesha

    Madhusudhana Gargesha currently works as a Senior Research Associate in the Department of Biomedical Engineering at Case Western Reserve University, Cleveland, Ohio, USA. Dr. Gargesha received his B.E. degree in Electronics and Communications Engineering from Bangalore University, Bangalore, India, in 1997, an M.S. degree in Electrical Engineering from Arizona State University, Tempe, Arizona, USA in 2001, and a Ph.D. in Electrical Engineering from Arizona State University, Tempe, Arizona, USA in 2006. Dr. Gargesha's current research interests include image preprocessing, analysis and  4D visualization of high-throughput OCT image data from embryonic avian and murine models, and preprocessing and visualization of color cryo-imaging data from small animal models including rats and mice.