Abstract：
:In this paper, we present a novel technique based on nonrigid image registration for myocardial motion estimation using both untagged and 3-D tagged MR images. The novel aspect of our technique is its simultaneous usage of complementary information from both untagged and 3-D tagged MR images. To estimate the motion within the myocardium, we register a sequence of tagged and untagged MR images during the cardiac cycle to a set of reference tagged and untagged MR images at end-diastole. The similarity measure is spatially weighted to maximize the utility of information from both images. In addition, the proposed approach integrates a valve plane tracker and adaptive incompressibility into the framework. We have evaluated the proposed approach on 12 subjects. Our results show a clear improvement in terms of accuracy compared to approaches that use either 3-D tagged or untagged MR image information alone. The relative error compared to manually tracked landmarks is less than 15% throughout the cardiac cycle. Finally, we demonstrate the automatic analysis of cardiac function from the myocardial deformation fields.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Shi W,Zhuang X,Wang H,Duckett S,Luong DV,Tobon-Gomez C,Tung K,Edwards PJ,Rhode KS,Razavi RS,Ourselin S,Rueckert Ddoi
10.1109/TMI.2012.2188104subject
Has Abstractpub_date
2012-06-01 00:00:00pages
1263-75issue
6eissn
0278-0062issn
1558-254Xjournal_volume
31pub_type
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