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, Joao Lima, Avan Suinesiaputra, Alistair A. Young

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages143-151
Number of pages9
Volume8330 LNCS
ISBN (Print)9783642542671
DOIs
StatePublished - 2014
Event4th 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 2013Sep 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8330 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013
CountryJapan
CityNagoya
Period9/26/139/26/13

Fingerprint

Atlas
Registration
Fourier series
Magnetic resonance
Principal component analysis
Sphericity
Myocardial Infarction
Magnetic Resonance Image
Progression
Planning
Piecewise Linear
Cardiac
Finite Element Model
Quantification
Principal Component Analysis
Person
Segmentation
Cycle
Motion
Heart

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Medrano-Gracia, P., Cowan, B. R., Bluemke, D. A., Finn, J. P., Kadish, A. H., Lee, D. C., ... Young, A. A. (2014). Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8330 LNCS, 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.; Finn, J. Paul; Kadish, Alan H.; Lee, Daniel C.; Lima, Joao; Suinesiaputra, Avan; Young, Alistair A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8330 LNCS 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 proceedingConference contribution

Medrano-Gracia, P, Cowan, BR, Bluemke, DA, Finn, JP, Kadish, AH, Lee, DC, Lima, J, Suinesiaputra, A & Young, AA 2014, Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8330 LNCS, 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8330 LNCS. Springer Verlag. 2014. p. 143-151. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-54268-8_17
Medrano-Gracia, Pau ; Cowan, Brett R. ; Bluemke, David A. ; Finn, J. Paul ; Kadish, Alan H. ; Lee, Daniel C. ; Lima, Joao ; Suinesiaputra, Avan ; Young, Alistair A. / Continuous spatio-temporal atlases of the asymptomatic and infarcted hearts. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8330 LNCS 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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