Optical Flow as a Tool for Cardiac Motion Estimation.

 

Authors
Medina Molina, Rub?n de Jes?s
Format
Article
Status
publishedVersion
Description

A sparse based algorithm for optical flow estimation is presented and compared with several classical optical flow estimation algorithms. The comparison is performed using several video sequences available from the Middlebury benchmark where the ground truth optical flow is known. The sparse algorithm attains competitive results with average angular errors as low as 2.09? and average magnitude errors as low as 0.100. The algorithms are also tested using a 4 - D cardiac Magnetic Resonance Image (MRI) sequence. The sparse algorithm estimates an optical flow field that represents the motion of contraction during the systole interval.
http://ieeexplore.ieee.org/document/7287015/

Publication Year
2015
Language
eng
Topic
ALGORITHMS
MAGNETIC RESONANCE IMAGING
OPTICAL FLOWS
SYSTEMS ENGINEERING
Repository
Repositorio SENESCYT
Get full text
http://repositorio.educacionsuperior.gob.ec/handle/28000/3958
Rights
openAccess
License
restrictedAccess