Detecting regional abnormal cardiac contraction in short-axis MR images using Independent Component Analysis

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

doi:10.1007/978-3-540-30135-6_90

Detecting regional abnormal cardiac contraction in short-axis MR images using Independent Component Analysis

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

^*Corresponding author for this work

Leiden University Medical Center

Research output: Contribution to journal › Conference article › peer-review

Abstract

Regional myocardial motion analysis is used in clinical routine to inspect cardiac contraction in myocardial diseases such as infarction or hypertrophy. Physicians/radiologists can recognize abnormal cardiac motion because they have knowledge about normal heart contraction. This paper explores the potential of Independent Component Analysis (ICA) to extract local myocardial contractility patterns and to use them for the automatic detection of regional abnormalities. A qualitative evaluation was performed using 42 healthy volunteers to train the ICA model and 6 infarct patients to test the detection and localization. This experiment shows that the evaluation results correlate very well to the clinical gold standard: delayed-enhancement MR images.

Original language	English
Pages (from-to)	737-744
Number of pages	8
Journal	Lecture notes in computer science
Volume	3216
Issue number	PART 1
DOIs	https://doi.org/10.1007/978-3-540-30135-6_90
Publication status	Published - 2004
Event	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France Duration: 26 Sept 2004 → 29 Sept 2004

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title = "Detecting regional abnormal cardiac contraction in short-axis MR images using Independent Component Analysis",

abstract = "Regional myocardial motion analysis is used in clinical routine to inspect cardiac contraction in myocardial diseases such as infarction or hypertrophy. Physicians/radiologists can recognize abnormal cardiac motion because they have knowledge about normal heart contraction. This paper explores the potential of Independent Component Analysis (ICA) to extract local myocardial contractility patterns and to use them for the automatic detection of regional abnormalities. A qualitative evaluation was performed using 42 healthy volunteers to train the ICA model and 6 infarct patients to test the detection and localization. This experiment shows that the evaluation results correlate very well to the clinical gold standard: delayed-enhancement MR images.",

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

year = "2004",

doi = "10.1007/978-3-540-30135-6\_90",

language = "English",

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pages = "737--744",

journal = "Lecture notes in computer science",

issn = "0302-9743",

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note = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings ; Conference date: 26-09-2004 Through 29-09-2004",

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TY - JOUR

T1 - Detecting regional abnormal cardiac contraction in short-axis MR images using Independent Component Analysis

AU - Suinesiaputra, A.

AU - Üzümcü, M.

AU - Frangi, A. F.

AU - Kaandorp, T. A.M.

AU - Reiber, J. H.C.

AU - Lelieveldt, B. P.F.

PY - 2004

Y1 - 2004

N2 - Regional myocardial motion analysis is used in clinical routine to inspect cardiac contraction in myocardial diseases such as infarction or hypertrophy. Physicians/radiologists can recognize abnormal cardiac motion because they have knowledge about normal heart contraction. This paper explores the potential of Independent Component Analysis (ICA) to extract local myocardial contractility patterns and to use them for the automatic detection of regional abnormalities. A qualitative evaluation was performed using 42 healthy volunteers to train the ICA model and 6 infarct patients to test the detection and localization. This experiment shows that the evaluation results correlate very well to the clinical gold standard: delayed-enhancement MR images.

AB - Regional myocardial motion analysis is used in clinical routine to inspect cardiac contraction in myocardial diseases such as infarction or hypertrophy. Physicians/radiologists can recognize abnormal cardiac motion because they have knowledge about normal heart contraction. This paper explores the potential of Independent Component Analysis (ICA) to extract local myocardial contractility patterns and to use them for the automatic detection of regional abnormalities. A qualitative evaluation was performed using 42 healthy volunteers to train the ICA model and 6 infarct patients to test the detection and localization. This experiment shows that the evaluation results correlate very well to the clinical gold standard: delayed-enhancement MR images.

UR - https://www.scopus.com/pages/publications/20344398239

U2 - 10.1007/978-3-540-30135-6_90

DO - 10.1007/978-3-540-30135-6_90

M3 - Conference article

AN - SCOPUS:20344398239

SN - 0302-9743

VL - 3216

SP - 737

EP - 744

JO - Lecture notes in computer science

JF - Lecture notes in computer science

IS - PART 1

T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings

Y2 - 26 September 2004 through 29 September 2004

ER -

Detecting regional abnormal cardiac contraction in short-axis MR images using Independent Component Analysis

Abstract

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