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Publication Detail
A comprehensive cardiac motion estimation framework using both untagged and 3-D tagged MR images based on nonrigid registration.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Journal Article
  • Authors:
    Shi W, Zhuang X, Wang H, Duckett S, Luong DVN, Tobon-Gomez C, Tung K, Edwards PJ, Rhode KS, Razavi RS, Ourselin S, Rueckert D
  • Publication date:
    06/2012
  • Pagination:
    1263, 1275
  • Journal:
    IEEE Trans Med Imaging
  • Volume:
    31
  • Issue:
    6
  • Status:
    Published
  • Country:
    United States
  • Language:
    eng
  • Keywords:
    Algorithms, Cardiac-Gated Imaging Techniques, Humans, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Movement, Myocardial Contraction, Pattern Recognition, Automated, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Ventricular Function, Left
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.
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