Title

Image Registration For Motion Estimation In Cardiac Ct

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. © 2014 SPIE.

Publication Date

1-1-2014

Publication Title

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volume

9033

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.2043559

Socpus ID

84901617675 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84901617675

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