Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences.

Zhijun Zhang, David Sahn, Xubo Song

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

Abstract

Quantitative motion analysis from cardiac imaging is important to study the function of heart. Most of existing image-based motion estimation methods model the myocardium as an isotropically elastic continuum. We propose a novel anisotropic regularization method which enforces the transmural homogeneity of the strain along myofiber. The myofiber orientation in the end-diastolic frame is obtained by registering it with a diffusion tensor atlas. Our method is formulated in a diffeomorphic registration framework, and tested on multimodal cardiac image sequences of two subjects using 3D echocardiography and cine and tagged MRI. Results show that the estimated transformations in our method are more smooth and more accurate than those in isotropic regularization.

Original languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages493-500
Number of pages8
Volume16
EditionPt 1
StatePublished - 2013

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Cine Magnetic Resonance Imaging
Three-Dimensional Echocardiography
Atlases
Myocardium

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Zhang, Z., Sahn, D., & Song, X. (2013). Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 16, pp. 493-500)

Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences. / Zhang, Zhijun; Sahn, David; Song, Xubo.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 16 Pt 1. ed. 2013. p. 493-500.

Research output: Chapter in Book/Report/Conference proceedingChapter

Zhang, Z, Sahn, D & Song, X 2013, Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 edn, vol. 16, pp. 493-500.
Zhang Z, Sahn D, Song X. Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 ed. Vol. 16. 2013. p. 493-500
Zhang, Zhijun ; Sahn, David ; Song, Xubo. / Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 16 Pt 1. ed. 2013. pp. 493-500
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