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Proceedings Paper

3D optical flow estimation in cardiac CT images using the Hermite transform
Author(s): Ernesto Moya-Albor; Carlos Mira; Jorge Brieva; Boris Escalante-Ramírez; Enrique Vallejo Venegas
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Paper Abstract

Heart diseases are one of the most important causes of death in the Western world. It is, then, important to implement algorithms to aid the specialist in analyzing the heart motion. We propose a new strategy to estimate the cardiac motion through a 3D optical flow differential technique that uses the Steered Hermite transform (SHT). SHT is a tool that performs a decomposition of the images in a base that model the visual patterns used by the human vision system (HSV) for processing the information. The 3D + t analysis allows to describe most of motions of the heart, for example, the twisting motion that takes place on every beat cycle and to identify abnormalities of the heart walls. Our proposal was tested on two phantoms and on two sequences of cardiac CT images corresponding to two different patients. We evaluate our method using a reconstruction schema, for this, the resulting 3D optical flow was applied over the volume at time t to obtain a estimated volume at time t + 1. We compared our 3D optical flow approach to the classical Horn and Shunk's 3D algorithm for different levels of noise.

Paper Details

Date Published: 26 January 2017
PDF: 11 pages
Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 1016010 (26 January 2017); doi: 10.1117/12.2256777
Show Author Affiliations
Ernesto Moya-Albor, Univ. Panamericana (Mexico)
Carlos Mira, Univ. Nacional Autónoma de México (Mexico)
Jorge Brieva, Univ. Panamericana (Mexico)
Boris Escalante-Ramírez, Univ. Nacional Autónoma de México (Mexico)
Enrique Vallejo Venegas, Hospital Ángeles del Pedregal (Mexico)

Published in SPIE Proceedings Vol. 10160:
12th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Jorge Brieva; Ignacio Larrabide; , Editor(s)

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