DocumentCode :
3598000
Title :
A Segmentation and Tracking System for 4D Cardiac Tagged MR Images
Author :
Metaxas, Dimitris N. ; Axel, Leon ; Qian, Zhen ; Huang, Xiaolei
Author_Institution :
Center for Computational Biomedicine Imaging & Modeling, Rutgers Univ., Piscataway, NJ
fYear :
2006
Firstpage :
1541
Lastpage :
1544
Abstract :
In this paper we present a robust method for segmenting and tracking cardiac contours and tags in 4D cardiac MRI tagged images via spatio-temporal propagation. Our method is based on two main techniques: the Metamorphs segmentation for robust boundary estimation, and the tunable Gabor filter bank for tagging lines enhancement, removal and myocardium tracking. We have developed a prototype system based on the integration of these two techniques, and achieved efficient, robust segmentation and tracking with minimal human interaction
Keywords :
Gabor filters; biomedical MRI; cardiovascular system; edge detection; image enhancement; image segmentation; medical image processing; tracking; 4D cardiac MRI tagged images; Metamorphs segmentation; cardiac contours; minimal human interaction; myocardium tracking system; robust boundary estimation; spatio-temporal propagation; tagging lines enhancement; tunable Gabor filter bank; Cardiovascular diseases; Deformable models; Gabor filters; Heart; Image segmentation; Magnetic resonance imaging; Myocardium; Noise robustness; Shape; Tagging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.259652
Filename :
4462058
Link To Document :
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