A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

作者：Shi Wenzhe^*; Zhuang Xiahai; Wang Haiyan; Duckett Simon; Luong Duy V N; Tobon Gomez Catalina; Tung KaiPin; Edwards Philip J; Rhode Kawal S; Razavi Reza S; Ourselin Sebastien; Rueckert Daniel

来源：IEEE Transactions on Medical Imaging, 2012, 31(6): 1263-1275.

DOI：10.1109/TMI.2012.2188104

• 3-D tagging
• cardiac function analysis
• cardiac MR imaging
• cardiac registration
• motion tracking
• segmentation

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.

• 出版日期2012-6