Automatic myocardium segmentation in late-enhancement MRI

C. Ciofolo; M. Fradkin; B. Mory; G. Hautvast; M. Breeuwer

doi:10.1109/ISBI.2008.4540973

Automatic myocardium segmentation in late-enhancement MRI

C. Ciofolo, M. Fradkin, B. Mory, G. Hautvast, M. Breeuwer

Medical Image Analysis

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

50 Citations (Scopus)

Abstract

We propose a novel automatic method to segment the myocardium on late-enhancement cardiac MR (LE CMR) images with a multi-step approach. First, in each slice of the LE CMR volume, a geometrical template is deformed so that its borders fit the myocardial contours. The second step consists in introducing a shape prior of the left ventricle. To do so, we use the cine MR sequence that is acquired along with the LE CMR volume. As the myocardial contours can be more easily automatically obtained on this data, they are used to build a 3D mesh representing the left ventricle geometry and the underlying myocardium thickness. This mesh is registered towards the contours obtained with the geometrical template, then locally adjusted to guarantee that scars are included inside the final segmentation. The quantitative evaluation on 27 volumes (272 slices) shows robust and accurate results.

Original language	English
Title of host publication	2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008). Proceedings, May 14-17, 2008, Paris, France
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	225-228
Number of pages	4
ISBN (Print)	9781424420032
DOIs	https://doi.org/10.1109/ISBI.2008.4540973
Publication status	Published - 2008
Event	5th IEEE International Symposium on Biomedical Imaging (ISBI 2008) - Paris Marriott Rive Gauche Hotel & Conference Center, Paris, France Duration: 14 May 2008 → 17 May 2008 Conference number: 5

Conference

Conference	5th IEEE International Symposium on Biomedical Imaging (ISBI 2008)
Abbreviated title	ISBI 2008
Country/Territory	France
City	Paris
Period	14/05/08 → 17/05/08
Other	From Nano to Macro

Keywords

Automation
Cardiovascular system
Image segmentation
Late-enhancement
Magnetic resonance imaging

Access to Document

10.1109/ISBI.2008.4540973

Cite this

Ciofolo, C., Fradkin, M., Mory, B., Hautvast, G., & Breeuwer, M. (2008). Automatic myocardium segmentation in late-enhancement MRI. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008). Proceedings, May 14-17, 2008, Paris, France (pp. 225-228). Article 4540973 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISBI.2008.4540973

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title = "Automatic myocardium segmentation in late-enhancement MRI",

abstract = "We propose a novel automatic method to segment the myocardium on late-enhancement cardiac MR (LE CMR) images with a multi-step approach. First, in each slice of the LE CMR volume, a geometrical template is deformed so that its borders fit the myocardial contours. The second step consists in introducing a shape prior of the left ventricle. To do so, we use the cine MR sequence that is acquired along with the LE CMR volume. As the myocardial contours can be more easily automatically obtained on this data, they are used to build a 3D mesh representing the left ventricle geometry and the underlying myocardium thickness. This mesh is registered towards the contours obtained with the geometrical template, then locally adjusted to guarantee that scars are included inside the final segmentation. The quantitative evaluation on 27 volumes (272 slices) shows robust and accurate results.",

keywords = "Automation, Cardiovascular system, Image segmentation, Late-enhancement, Magnetic resonance imaging",

author = "C. Ciofolo and M. Fradkin and B. Mory and G. Hautvast and M. Breeuwer",

year = "2008",

doi = "10.1109/ISBI.2008.4540973",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "5th IEEE International Symposium on Biomedical Imaging (ISBI 2008), ISBI 2008 ; Conference date: 14-05-2008 Through 17-05-2008",

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Ciofolo, C, Fradkin, M, Mory, B, Hautvast, G & Breeuwer, M 2008, Automatic myocardium segmentation in late-enhancement MRI. in 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008). Proceedings, May 14-17, 2008, Paris, France., 4540973, Institute of Electrical and Electronics Engineers, Piscataway, pp. 225-228, 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008), Paris, France, 14/05/08. https://doi.org/10.1109/ISBI.2008.4540973

Automatic myocardium segmentation in late-enhancement MRI. / Ciofolo, C.; Fradkin, M.; Mory, B. et al.
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008). Proceedings, May 14-17, 2008, Paris, France. Piscataway: Institute of Electrical and Electronics Engineers, 2008. p. 225-228 4540973.

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

TY - GEN

T1 - Automatic myocardium segmentation in late-enhancement MRI

AU - Ciofolo, C.

AU - Fradkin, M.

AU - Mory, B.

AU - Hautvast, G.

AU - Breeuwer, M.

N1 - Conference code: 5

PY - 2008

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N2 - We propose a novel automatic method to segment the myocardium on late-enhancement cardiac MR (LE CMR) images with a multi-step approach. First, in each slice of the LE CMR volume, a geometrical template is deformed so that its borders fit the myocardial contours. The second step consists in introducing a shape prior of the left ventricle. To do so, we use the cine MR sequence that is acquired along with the LE CMR volume. As the myocardial contours can be more easily automatically obtained on this data, they are used to build a 3D mesh representing the left ventricle geometry and the underlying myocardium thickness. This mesh is registered towards the contours obtained with the geometrical template, then locally adjusted to guarantee that scars are included inside the final segmentation. The quantitative evaluation on 27 volumes (272 slices) shows robust and accurate results.

AB - We propose a novel automatic method to segment the myocardium on late-enhancement cardiac MR (LE CMR) images with a multi-step approach. First, in each slice of the LE CMR volume, a geometrical template is deformed so that its borders fit the myocardial contours. The second step consists in introducing a shape prior of the left ventricle. To do so, we use the cine MR sequence that is acquired along with the LE CMR volume. As the myocardial contours can be more easily automatically obtained on this data, they are used to build a 3D mesh representing the left ventricle geometry and the underlying myocardium thickness. This mesh is registered towards the contours obtained with the geometrical template, then locally adjusted to guarantee that scars are included inside the final segmentation. The quantitative evaluation on 27 volumes (272 slices) shows robust and accurate results.

KW - Automation

KW - Cardiovascular system

KW - Image segmentation

KW - Late-enhancement

KW - Magnetic resonance imaging

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M3 - Conference contribution

AN - SCOPUS:51049108368

SN - 9781424420032

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EP - 228

BT - 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008). Proceedings, May 14-17, 2008, Paris, France

PB - Institute of Electrical and Electronics Engineers

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ER -

Ciofolo C, Fradkin M, Mory B, Hautvast G, Breeuwer M. Automatic myocardium segmentation in late-enhancement MRI. In 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008). Proceedings, May 14-17, 2008, Paris, France. Piscataway: Institute of Electrical and Electronics Engineers. 2008. p. 225-228. 4540973 doi: 10.1109/ISBI.2008.4540973

Automatic myocardium segmentation in late-enhancement MRI

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Keywords

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