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