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

Zhijun Zhang; David J. Sahn; Xubo Song

doi:10.1007/978-3-642-40811-3_62

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

Zhijun Zhang, David J. Sahn, Xubo Song

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Pages	493-500
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-40811-3_62
State	Published - 2013
Event	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan Duration: Sep 22 2013 → Sep 26 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	8149 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	9/22/13 → 9/26/13

Keywords

Cardiac motion estimation
cardiac strain
diffeomorphic registration
myofiber orientation

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-40811-3_62

Cite this

Zhang, Z., Sahn, D. J., & 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 2013 - 16th International Conference, Proceedings (PART 1 ed., pp. 493-500). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8149 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-40811-3_62

Cardiac motion estimation by optimizing transmural homogeneity of the myofiber strain and its validation with multimodal sequences. / Zhang, Zhijun; Sahn, David J.; Song, Xubo.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 1. ed. 2013. p. 493-500 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8149 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhang, Z, Sahn, DJ & 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 2013 - 16th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 8149 LNCS, pp. 493-500, 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, Nagoya, Japan, 9/22/13. https://doi.org/10.1007/978-3-642-40811-3_62

Zhang Z, Sahn DJ, 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 2013 - 16th International Conference, Proceedings. PART 1 ed. 2013. p. 493-500. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-40811-3_62

Zhang, Zhijun ; Sahn, David J. ; 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 2013 - 16th International Conference, Proceedings. PART 1. ed. 2013. pp. 493-500 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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AB - 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.

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

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Keywords

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