Automatic cardiac motion tracking using both untagged and 3D tagged MR images

Haiyan Wang; Wenzhe Shi; Xiahai Zhuang; Simon Duckett; Kaipin Tung; Philip Edwards; Reza Razavi; Sebastien Ourselin; Daniel Rueckert

doi:10.1007/978-3-642-28326-0_5

Automatic cardiac motion tracking using both untagged and 3D tagged MR images

Haiyan Wang, Wenzhe Shi, Xiahai Zhuang, Simon Duckett, Kaipin Tung, Philip Edwards, Reza Razavi, Sebastien Ourselin, Daniel Rueckert

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

2 Scopus citations

Abstract

We present a fully automatic framework for cardiac motion tracking based on non-rigid image registration for the analysis of myocardial motion using both untagged and 3D tagged MR images. We detect and track anatomical landmarks in the heart and combine this with intensity-based motion tracking to allow accurately model cardiac motion while significantly reduce the computational complexity. A collaborative similarity measure simultaneously computed in three LA views is employed to register a sequence of images taken during the cardiac cycle to a reference image taken at end-diastole. We then integrate a valve plane tracker into the framework which uses short-axis and long-axis untagged MR images as well as 3D tagged images to estimate a fully four-dimensional motion field of the left ventricle.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart
Subtitle of host publication	Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers
Pages	45-54
Number of pages	10
DOIs	https://doi.org/10.1007/978-3-642-28326-0_5
State	Published - 2012
Externally published	Yes
Event	2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011 - Toronto, ON, Canada Duration: 22 Sep 2011 → 22 Sep 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7085 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011
Country/Territory	Canada
City	Toronto, ON
Period	22/09/11 → 22/09/11

Access to Document

10.1007/978-3-642-28326-0_5

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Wang, H., Shi, W., Zhuang, X., Duckett, S., Tung, K., Edwards, P., Razavi, R., Ourselin, S., & Rueckert, D. (2012). Automatic cardiac motion tracking using both untagged and 3D tagged MR images. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers (pp. 45-54). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7085 LNCS). https://doi.org/10.1007/978-3-642-28326-0_5

Wang, Haiyan ; Shi, Wenzhe ; Zhuang, Xiahai et al. / Automatic cardiac motion tracking using both untagged and 3D tagged MR images. Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. 2012. pp. 45-54 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{a6481e6ceee04f5c8633beb8bb245767,

title = "Automatic cardiac motion tracking using both untagged and 3D tagged MR images",

abstract = "We present a fully automatic framework for cardiac motion tracking based on non-rigid image registration for the analysis of myocardial motion using both untagged and 3D tagged MR images. We detect and track anatomical landmarks in the heart and combine this with intensity-based motion tracking to allow accurately model cardiac motion while significantly reduce the computational complexity. A collaborative similarity measure simultaneously computed in three LA views is employed to register a sequence of images taken during the cardiac cycle to a reference image taken at end-diastole. We then integrate a valve plane tracker into the framework which uses short-axis and long-axis untagged MR images as well as 3D tagged images to estimate a fully four-dimensional motion field of the left ventricle.",

author = "Haiyan Wang and Wenzhe Shi and Xiahai Zhuang and Simon Duckett and Kaipin Tung and Philip Edwards and Reza Razavi and Sebastien Ourselin and Daniel Rueckert",

year = "2012",

doi = "10.1007/978-3-642-28326-0_5",

language = "English",

isbn = "9783642283253",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "45--54",

booktitle = "Statistical Atlases and Computational Models of the Heart",

note = "2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011 ; Conference date: 22-09-2011 Through 22-09-2011",

}

Wang, H, Shi, W, Zhuang, X, Duckett, S, Tung, K, Edwards, P, Razavi, R, Ourselin, S & Rueckert, D 2012, Automatic cardiac motion tracking using both untagged and 3D tagged MR images. in Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7085 LNCS, pp. 45-54, 2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, 22/09/11. https://doi.org/10.1007/978-3-642-28326-0_5

Automatic cardiac motion tracking using both untagged and 3D tagged MR images. / Wang, Haiyan; Shi, Wenzhe; Zhuang, Xiahai et al.
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. 2012. p. 45-54 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7085 LNCS).

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

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T1 - Automatic cardiac motion tracking using both untagged and 3D tagged MR images

AU - Wang, Haiyan

AU - Shi, Wenzhe

AU - Zhuang, Xiahai

AU - Duckett, Simon

AU - Tung, Kaipin

AU - Edwards, Philip

AU - Razavi, Reza

AU - Ourselin, Sebastien

AU - Rueckert, Daniel

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AB - We present a fully automatic framework for cardiac motion tracking based on non-rigid image registration for the analysis of myocardial motion using both untagged and 3D tagged MR images. We detect and track anatomical landmarks in the heart and combine this with intensity-based motion tracking to allow accurately model cardiac motion while significantly reduce the computational complexity. A collaborative similarity measure simultaneously computed in three LA views is employed to register a sequence of images taken during the cardiac cycle to a reference image taken at end-diastole. We then integrate a valve plane tracker into the framework which uses short-axis and long-axis untagged MR images as well as 3D tagged images to estimate a fully four-dimensional motion field of the left ventricle.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Statistical Atlases and Computational Models of the Heart

T2 - 2nd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2011, Held in Conjunction with MICCAI 2011

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Wang H, Shi W, Zhuang X, Duckett S, Tung K, Edwards P et al. Automatic cardiac motion tracking using both untagged and 3D tagged MR images. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Revised Selected Papers. 2012. p. 45-54. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-28326-0_5

Automatic cardiac motion tracking using both untagged and 3D tagged MR images

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