Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis

A. Suinesiaputra; A. F. Frangi; M. Üzümcü; J. H.C. Reiber; B. P.F. Lelieveldt

doi:10.1007/978-3-540-27816-0_7

Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis

A. Suinesiaputra^*
, A. F. Frangi
, M. Üzümcü
, J. H.C. Reiber
, B. P.F. Lelieveldt

^*Corresponding author for this work

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

Abstract

Regional myocardial wall motion analysis has been used in clinical routine to assess myocardial disease, such as infarction and hypertrophy. These diseases can be distinguished from normals by looking at the local abnormality of cardiac motion. In this paper, we present a first result of a feature extraction experiment using the Independent Component Analysis (ICA), where abnormal patterns of myocardial contraction from patients are recognizable and distinguishable from normal subjects.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic
Publisher	Springer-Verlag Italia
Pages	75-86
Number of pages	12
ISBN (Print)	3540226753, 9783540226758
DOIs	https://doi.org/10.1007/978-3-540-27816-0_7
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3117
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-540-27816-0_7

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Suinesiaputra, A., Frangi, A. F., Üzümcü, M., Reiber, J. H. C., & Lelieveldt, B. P. F. (2004). Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis. In M. Sonka, I. A. Kakadiaris, & J. Kybic (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 75-86). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3117). Springer-Verlag Italia. https://doi.org/10.1007/978-3-540-27816-0_7

Suinesiaputra, A. ; Frangi, A. F. ; Üzümcü, M. et al. / Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Milan Sonka ; Ioannis A. Kakadiaris ; Jan Kybic. Springer-Verlag Italia, 2004. pp. 75-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis",

abstract = "Regional myocardial wall motion analysis has been used in clinical routine to assess myocardial disease, such as infarction and hypertrophy. These diseases can be distinguished from normals by looking at the local abnormality of cardiac motion. In this paper, we present a first result of a feature extraction experiment using the Independent Component Analysis (ICA), where abnormal patterns of myocardial contraction from patients are recognizable and distinguishable from normal subjects.",

author = "A. Suinesiaputra and Frangi, \{A. F.\} and M. {\"U}z{\"u}mc{\"u} and Reiber, \{J. H.C.\} and Lelieveldt, \{B. P.F.\}",

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

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Suinesiaputra, A, Frangi, AF, Üzümcü, M, Reiber, JHC & Lelieveldt, BPF 2004, Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis. in M Sonka, IA Kakadiaris & J Kybic (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3117, Springer-Verlag Italia, pp. 75-86. https://doi.org/10.1007/978-3-540-27816-0_7

Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis. / Suinesiaputra, A.; Frangi, A. F.; Üzümcü, M. et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Milan Sonka; Ioannis A. Kakadiaris; Jan Kybic. Springer-Verlag Italia, 2004. p. 75-86 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3117).

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

TY - CHAP

T1 - Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis

AU - Suinesiaputra, A.

AU - Frangi, A. F.

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AU - Reiber, J. H.C.

AU - Lelieveldt, B. P.F.

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AB - Regional myocardial wall motion analysis has been used in clinical routine to assess myocardial disease, such as infarction and hypertrophy. These diseases can be distinguished from normals by looking at the local abnormality of cardiac motion. In this paper, we present a first result of a feature extraction experiment using the Independent Component Analysis (ICA), where abnormal patterns of myocardial contraction from patients are recognizable and distinguishable from normal subjects.

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SN - 3540226753

SN - 9783540226758

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

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PB - Springer-Verlag Italia

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Suinesiaputra A, Frangi AF, Üzümcü M, Reiber JHC, Lelieveldt BPF. Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis. In Sonka M, Kakadiaris IA, Kybic J, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer-Verlag Italia. 2004. p. 75-86. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-27816-0_7

Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis

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