Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts

Pau Medrano-Gracia; Brett R. Cowan; David A. Bluemke; J. Paul Finn; Alan H. Kadish; Daniel C. Lee; João A.C. Lima; Avan Suinesiaputra; Alistair A. Young

doi:10.1007/978-3-642-54268-8_17

Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts

Pau Medrano-Gracia, Brett R. Cowan, David A. Bluemke, J. Paul Finn, Alan H. Kadish, Daniel C. Lee, João A.C. Lima, Avan Suinesiaputra, Alistair A. Young

School of Medicine

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

6 Scopus citations

Abstract

Statistical descriptions of regional wall motion abnormalities of the heart are key to understanding both sub-clinical and clinical progression of dysfunction. In this paper we establish a temporal registration framework of the cardiac cycle to build a spatio-temporal atlas of 300 asymptomatic volunteers and 300 symptomatic patients with myocardial infarction. A finite-element model was customised to each person's magnetic resonance images with expert-guided semi-automatic spatial and temporal registration of model parameters. A piece-wise linear temporal registration from user-defined key frames was followed by a Fourier series temporal estimation, providing temporal continuity. All spatial and temporal data were then statistically analysed by means of principal component analysis. Results show differences in sphericity, wall thickening and mitral valve dynamics between the two groups. The modes are available from www.cardiacatlas.org. These atlases can be readily applied to abnormality detection and quantification and can also aid in anatomically constrained shape-based algorithms in automatic planning or segmentation.

Original language	English (US)
Title of host publication	Statistical Atlases and Computational Models of the Heart
Subtitle of host publication	Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers
Publisher	Springer Verlag
Pages	143-151
Number of pages	9
ISBN (Print)	9783642542671
DOIs	https://doi.org/10.1007/978-3-642-54268-8_17
State	Published - 2014
Event	4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013 - Nagoya, Japan Duration: Sep 26 2013 → Sep 26 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8330 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	9/26/13 → 9/26/13

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-54268-8_17

Cite this

Medrano-Gracia, P., Cowan, B. R., Bluemke, D. A., Finn, J. P., Kadish, A. H., Lee, D. C., Lima, J. A. C., Suinesiaputra, A., & Young, A. A. (2014). Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers (pp. 143-151). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8330 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-642-54268-8_17

Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. / Medrano-Gracia, Pau; Cowan, Brett R.; Bluemke, David A. et al.

Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. Springer Verlag, 2014. p. 143-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8330 LNCS).

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

Medrano-Gracia, P, Cowan, BR, Bluemke, DA, Finn, JP, Kadish, AH, Lee, DC, Lima, JAC, Suinesiaputra, A & Young, AA 2014, Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. in Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8330 LNCS, Springer Verlag, pp. 143-151, 4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, 9/26/13. https://doi.org/10.1007/978-3-642-54268-8_17

Medrano-Gracia P, Cowan BR, Bluemke DA, Finn JP, Kadish AH, Lee DC et al. Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. In Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. Springer Verlag. 2014. p. 143-151. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-54268-8_17

Medrano-Gracia, Pau ; Cowan, Brett R. ; Bluemke, David A. et al. / Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 4th International Workshop, STACOM 2013, Held in Conjunction with MICCAI 2013, Revised Selected Papers. Springer Verlag, 2014. pp. 143-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Statistical descriptions of regional wall motion abnormalities of the heart are key to understanding both sub-clinical and clinical progression of dysfunction. In this paper we establish a temporal registration framework of the cardiac cycle to build a spatio-temporal atlas of 300 asymptomatic volunteers and 300 symptomatic patients with myocardial infarction. A finite-element model was customised to each person's magnetic resonance images with expert-guided semi-automatic spatial and temporal registration of model parameters. A piece-wise linear temporal registration from user-defined key frames was followed by a Fourier series temporal estimation, providing temporal continuity. All spatial and temporal data were then statistically analysed by means of principal component analysis. Results show differences in sphericity, wall thickening and mitral valve dynamics between the two groups. The modes are available from www.cardiacatlas.org. These atlases can be readily applied to abnormality detection and quantification and can also aid in anatomically constrained shape-based algorithms in automatic planning or segmentation.",

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AU - Cowan, Brett R.

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AU - Finn, J. Paul

AU - Kadish, Alan H.

AU - Lee, Daniel C.

AU - Lima, João A.C.

AU - Suinesiaputra, Avan

AU - Young, Alistair A.

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N2 - Statistical descriptions of regional wall motion abnormalities of the heart are key to understanding both sub-clinical and clinical progression of dysfunction. In this paper we establish a temporal registration framework of the cardiac cycle to build a spatio-temporal atlas of 300 asymptomatic volunteers and 300 symptomatic patients with myocardial infarction. A finite-element model was customised to each person's magnetic resonance images with expert-guided semi-automatic spatial and temporal registration of model parameters. A piece-wise linear temporal registration from user-defined key frames was followed by a Fourier series temporal estimation, providing temporal continuity. All spatial and temporal data were then statistically analysed by means of principal component analysis. Results show differences in sphericity, wall thickening and mitral valve dynamics between the two groups. The modes are available from www.cardiacatlas.org. These atlases can be readily applied to abnormality detection and quantification and can also aid in anatomically constrained shape-based algorithms in automatic planning or segmentation.

AB - Statistical descriptions of regional wall motion abnormalities of the heart are key to understanding both sub-clinical and clinical progression of dysfunction. In this paper we establish a temporal registration framework of the cardiac cycle to build a spatio-temporal atlas of 300 asymptomatic volunteers and 300 symptomatic patients with myocardial infarction. A finite-element model was customised to each person's magnetic resonance images with expert-guided semi-automatic spatial and temporal registration of model parameters. A piece-wise linear temporal registration from user-defined key frames was followed by a Fourier series temporal estimation, providing temporal continuity. All spatial and temporal data were then statistically analysed by means of principal component analysis. Results show differences in sphericity, wall thickening and mitral valve dynamics between the two groups. The modes are available from www.cardiacatlas.org. These atlases can be readily applied to abnormality detection and quantification and can also aid in anatomically constrained shape-based algorithms in automatic planning or segmentation.

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Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts

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