DocumentCode
3100327
Title
A Multi-Scale Phase-Based Optical Flow Method for Motion Tracking of Left Ventricle
Author
Yang, Xiaomei ; Murase, Kenya
Author_Institution
Coll. of Electr. Eng. & Inf. Technol., Sichuan Univ., Chengdu, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Quantitative analysis of cardiac motion is important in assessing ventricular function. Multi-scale phase-based optical flow (OF) method for motion tracking of the left ventricle (LV) is presented for tagged magnetic resonance (MR) image sequence. Two phase images, which contain the information about the motion orthogonal to the tag lines, are derived from harmonic phase (HARP) technique for each frame. The two phase images rather than brightness are used as sources in the OF method to calculate displacement flow, since the phase is a property of the tissue that remains constant over a cardiac cycle. The Multi-scale algorithm can improve the accuracy and be used to measure large motion. The effectiveness of the method and the accuracy of motion tracking are validated through simulated data and real tagged data. The results show that this method can also achieve acceptable accuracy of motion tracking with little sensitivity to tag fading.
Keywords
biomedical MRI; cardiology; image motion analysis; image sequences; medical image processing; HARP; cardiac motion; harmonic phase technique; left ventricle; motion tracking; multiscale phase-based optical flow method; quantitative analysis; tag fading; tagged magnetic resonance image sequence; ventricular function; Brightness; Fading; Image motion analysis; Image sequences; Magnetic analysis; Magnetic resonance; Motion analysis; Motion measurement; Optical sensors; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5515478
Filename
5515478
Link To Document