Dr. Vivek S. Walimbe Profile

Dr. Vivek S. Walimbe

Senior Engineer at GE Healthcare

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Author

Publications (4)

Proceedings Article | 13 March 2010 Paper

Novel registration-based image enhancement for x-ray fluoroscopy

Adam Dixon, Romain Areste, Kadri Jabri, Vivek Walimbe

Proceedings Volume 7623, 76233D (2010) https://doi.org/10.1117/12.844498

KEYWORDS: Image enhancement, Image registration, X-rays, X-ray imaging, Fluoroscopy, Image quality, Image processing, Barium, Denoising, Motion models

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Proceedings Article | 21 March 2007 Paper

Automatic prostate localization using elastic registration of planning CT and daily 3D ultrasound images

Jianzhou Wu, Omkar Dandekar, Vivek Walimbe, Warren D'Souza, Raj Shekhar

Proceedings Volume 6509, 650913 (2007) https://doi.org/10.1117/12.711598

KEYWORDS: Ultrasonography, Prostate, Image registration, Computed tomography, 3D image processing, Radiotherapy, Automatic alignment, 3D acquisition, Image filtering, X-ray computed tomography

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Proceedings Article | 16 March 2006 Paper

Fully automatic segmentation of left ventricular myocardium in real-time three-dimensional echocardiography

Vivek Walimbe, Vladimir Zagrodsky, Raj Shekhar

Proceedings Volume 6144, 61444H (2006) https://doi.org/10.1117/12.654050

KEYWORDS: Image segmentation, 3D image processing, 3D modeling, Image processing algorithms and systems, Echocardiography, Image registration, 3D acquisition, Algorithm development, Image restoration, Medical imaging

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Purpose: We report a deformable model (DM)-based fully automatic segmentation of the left ventricular (LV) myocardium (endocardium + epicardium) in real-time three-dimensional (3D) echocardiography. Methods: Initialization of the DM is performed through automated mutual information-based registration of the image to be segmented with a 3D template (image + corresponding endo-epicardial wiremesh). The initialized endocardial and epicardial wiremesh templates are then simultaneously refined iteratively under the joint influence of mesh-derived internal forces, image-derived external (gradient vector flow-based) forces, and endo-epicardium mesh-interaction forces. Incorporation of adaptive mesh-interaction forces into the DM refinement, a novelty of the current work, ensures appropriate relative endo-epicardial orientation during simultaneous refinement. Repeating for the entire cardiac sequence provides the segmented myocardium for all phases. Preliminary comparison is presented between automatic and expert-defined myocardial segmentation for five subjects imaged in clinical settings using a Philips SONOS 7500 scanner. Results: Root mean square (rms) radial distance error between the algorithm-determined and expert-traced endocardial and epicardial contours in six predetermined planar views was 3.86 ± 0.72 mm and 4.0 ± 0.63 mm in end-diastole, 3.9 ± 0.51 mm and 4.04 ± 0.65 mm in systole, respectively. Mean absolute error between average myocardial thickness calculated using automatic and expert-defined contours was 1.64 ± 0.56 mm (apical), 1.3 ± 0.58 mm (mid) and 1.46 ± 0.45 mm (basal). The absolute difference in ejection fraction calculated using our algorithm and by the expert using the TomTec software was 7.2 ± 0.84 %. Conclusion: We demonstrate successful segmentation of LV myocardium, which allows clinically important LV structure and function (e.g. wall thickness, LV volume and ejection fraction) to be tracked over the entire cardiac cycle.

Proceedings Article | 12 May 2004 Paper

Elastic registration of 3D whole body CT and PET images by quaternion-based interpolation of multiple piecewise linear rigid-body registrations

Vivek Walimbe, Vladimir Zagrodsky, Shanker Raja, Bohdan Bybel, Mangesh Kanvinde, Raj Shekhar

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535501

KEYWORDS: Image registration, Computed tomography, Positron emission tomography, 3D image processing, Image segmentation, Algorithm development, Affine motion model, Tumors, Visualization, 3D modeling

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