DocumentCode
139345
Title
Hybrid intensity- and phase- based optical flow tracking of tagged MRI
Author
Eldeeb, Safaa M. ; Khalifa, Ayman M. ; Fahmy, Ahmed S.
Author_Institution
Diagnosoft Inc., USA
fYear
2014
fDate
26-30 Aug. 2014
Firstpage
1059
Lastpage
1062
Abstract
Accurate tracking of the myocardium tissues in tagged Magnetic Resonance Images (MRI) is essential for evaluating the cardiac function. Current tracking methods utilize either the image intensity or the image phase as landmarks that can be tracked. In either case, the performance is vulnerable to the image quality and the fading of the tag lines. In this work, we propose a hybrid optical flow tracking method that combines both the intensity and the phase features of the image. The method is validated using numerical cardiac phantom as well as real MRI data experiments. Both experiments showed that the proposed method outperforms current intensity-based optical flow tracking and the phase-based HARP method with maximum error of 1 pixel at extreme conditions of tag fading.
Keywords
biomechanics; biomedical MRI; cardiology; error analysis; feature extraction; image motion analysis; image sequences; medical image processing; muscle; object tracking; partial differential equations; phantoms; cardiac function evaluation; extreme tag fading condition; feature combination; hybrid optical flow tracking; image intensity feature; image phase features; image quality effect; intensity-based optical flow tracking; maximum error; myocardium tissue tracking accuracy; numerical cardiac phantom; phase-based HARP method; phase-based optical flow tracking; real MRI data experiments; tag line fading effect; tagged MRI; tagged magnetic resonance images; tracking landmark; Adaptive optics; Computer vision; Image motion analysis; Magnetic resonance imaging; Myocardium; Optical filters; Optical imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2014.6943776
Filename
6943776
Link To Document