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Proceedings Paper

Image registration for motion estimation in cardiac CT
Author(s): Bibo Shi; Gene Katsevich; Be-Shan Chiang; Alexander Katsevich; Alexander Zamyatin
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Paper Abstract

Motion estimation is a very important method for improving image quality by compensating the cardiac motion at the best phase reconstructed. We tackle the cardiac motion estimation problem using an image registration approach. We compare the performance of three gradient-based registration methods on clinical data. In addition to simple gradient descent, we test the Nesterov accelerated descent and conjugate gradient algorithms. The results show that accelerated gradient methods provide significant speedup over conventional gradient descent with no loss of image quality.

Paper Details

Date Published: 19 March 2014
PDF: 6 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90332E (19 March 2014); doi: 10.1117/12.2043559
Show Author Affiliations
Bibo Shi, Ohio Univ. (United States)
Gene Katsevich, Princeton Univ. (United States)
Be-Shan Chiang, Toshiba Medical Research Institute (United States)
Alexander Katsevich, Univ. of Central Florida (United States)
Alexander Zamyatin, Toshiba Medical Research Institute (United States)

Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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