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 :
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