@inproceedings{07375dc032404ef984757686db1dab85,
title = "Optical Flow as a Tool for Cardiac Motion Estimation",
abstract = "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.",
author = "Emiro Ibarra and Rub{\'e}n Medina and Villie Morocho and Pablo Vanegas",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015 ; Conference date: 14-07-2015 Through 16-07-2015",
year = "2015",
month = oct,
day = "1",
doi = "10.1109/APCASE.2015.38",
language = "Ingl{\'e}s",
series = "Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "173--178",
editor = "Alberto Sanchez and Carlos Monsalve and Zenon Chaczko",
booktitle = "Proceedings - 2015 Asia-Pacific Conference on Computer-Aided System Engineering, APCASE 2015",
}