Automated tag tracking using Gabor filter bank, robust point matching, and deformable models

被引:0
作者
Chen, Ting [1 ]
Chung, Sohae [1 ]
Axel, Leon
机构
[1] NYU, Sch Med, Dept Radiol, 650 1St Ave, New York, NY 10016 USA
来源
FUNCTIONAL IMAGING AND MODELING OF THE HEART, PROCEEDINGS | 2007年 / 4466卷
关键词
tagged MRI; Gabor filter; motion tracking; deformable model; robust point matching;
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Tagged Magnetic Resonance Imaging (tagged MRI or tMRI) provides a means of directly and noninvasively displaying the motion of the myocardium. Reconstruction of the motion field is needed for quantitative analysis of important clinical information, e.g., the myocardial strain. In this paper, we present a two-step method for this task. First, we use a Gabor filter bank to generate a corresponding phase map of tMRI images. Second, deformable models are initialized at the discontinuities in the wrapped phase map, and are deformed under the influence of the image gradient to track the motion of tags. Unlike previous approaches, a Robust Point Matching (RPM) module has been integrated into the model evolution to avoid false tracking results caused by 1) through-plane motion, and 2) small tag spacing. The method has been tested on a numeric phantom, as well as in vivo heart data. The experimental results show that the new method has a good performance on both synthetic and real data, and has the potential to be used in clinical applications.
引用
收藏
页码:22 / +
页数:2
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