Infarct segmentation of the left ventricle using graph-cuts

Rashed Karim; Zhong Chen; Samantha Obom; YingLiang Ma; Prince  Acheampong; Harminder  Gill; Jaspal  Gill; Christopher Aldo Rinaldi; Mark D. O'Neill; Reza Razavi; Kawal S Rhode; Tobias  Schaeffter

doi:10.1007/978-3-642-36961-2_9

Infarct segmentation of the left ventricle using graph-cuts

Rashed Karim, Zhong Chen, Samantha Obom, YingLiang Ma, Prince Acheampong, Harminder Gill, Jaspal Gill, Christopher Aldo Rinaldi, Mark D. O'Neill, Reza Razavi, Kawal S Rhode, Tobias Schaeffter

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

3 Citations (Scopus)

Abstract

Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for imaging left ventricular (LV) infarct. Existing techniques for LV infarct segmentation are primarily threshold-based making them prone to high user variability. In this work, we propose a segmentation algorithm that can learn from training images and segment based on this training model. This is implemented as a Markov random field (MRF) based energy formulation solved using graph-cuts. A good agreement was found with the Full-Width-at-Half-Maximum (FWHM) technique.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Subtitle of host publication	Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers
Editors	Oscar Camara, Tommaso Mansi, Mihaela Pop, Kawal Rhode, Maxime Sermesant, Alistair Young
Place of Publication	Berlin
Publisher	Springer
Pages	71-79
Number of pages	9
ISBN (Electronic)	978-3-642-36961-2
ISBN (Print)	978-3-642-36960-5
DOIs	https://doi.org/10.1007/978-3-642-36961-2_9
Publication status	Published - 2012
Externally published	Yes
Event	Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012 - Nice , France Duration: 5 Oct 2012 → 5 Oct 2015 Conference number: 3

Publication series

Name	Lecture Notes in Computer Science
Volume	7746

Conference

Conference	Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012
Country/Territory	France
City	Nice
Period	5/10/12 → 5/10/15

Keywords

Segmentation
Delayed-enhancement MRI
Left ventricle
Graph-cuts

Access to Document

10.1007/978-3-642-36961-2_9

Cite this

Karim, R., Chen, Z., Obom, S., Ma, Y., Acheampong, P., Gill, H., Gill, J., Rinaldi, C. A., O'Neill, M. D., Razavi, R., Rhode, K. S., & Schaeffter, T. (2012). Infarct segmentation of the left ventricle using graph-cuts. In O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, & A. Young (Eds.), Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers (pp. 71-79). ( Lecture Notes in Computer Science; Vol. 7746). Springer . https://doi.org/10.1007/978-3-642-36961-2_9

Infarct segmentation of the left ventricle using graph-cuts. / Karim, Rashed; Chen, Zhong; Obom, Samantha et al.
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. ed. / Oscar Camara; Tommaso Mansi; Mihaela Pop; Kawal Rhode; Maxime Sermesant; Alistair Young. Berlin: Springer , 2012. p. 71-79 ( Lecture Notes in Computer Science; Vol. 7746).

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

Karim, R, Chen, Z, Obom, S, Ma, Y, Acheampong, P, Gill, H, Gill, J, Rinaldi, CA, O'Neill, MD, Razavi, R, Rhode, KS & Schaeffter, T 2012, Infarct segmentation of the left ventricle using graph-cuts. in O Camara, T Mansi, M Pop, K Rhode, M Sermesant & A Young (eds), Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science, vol. 7746, Springer , Berlin, pp. 71-79, Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice , France, 5/10/12. https://doi.org/10.1007/978-3-642-36961-2_9

Karim R, Chen Z, Obom S, Ma Y, Acheampong P, Gill H et al. Infarct segmentation of the left ventricle using graph-cuts. In Camara O, Mansi T, Pop M, Rhode K, Sermesant M, Young A, editors, Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. Berlin: Springer . 2012. p. 71-79. ( Lecture Notes in Computer Science). doi: 10.1007/978-3-642-36961-2_9

Karim, Rashed ; Chen, Zhong ; Obom, Samantha et al. / Infarct segmentation of the left ventricle using graph-cuts. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. editor / Oscar Camara ; Tommaso Mansi ; Mihaela Pop ; Kawal Rhode ; Maxime Sermesant ; Alistair Young. Berlin : Springer , 2012. pp. 71-79 ( Lecture Notes in Computer Science).

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title = "Infarct segmentation of the left ventricle using graph-cuts",

abstract = "Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for imaging left ventricular (LV) infarct. Existing techniques for LV infarct segmentation are primarily threshold-based making them prone to high user variability. In this work, we propose a segmentation algorithm that can learn from training images and segment based on this training model. This is implemented as a Markov random field (MRF) based energy formulation solved using graph-cuts. A good agreement was found with the Full-Width-at-Half-Maximum (FWHM) technique.",

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author = "Rashed Karim and Zhong Chen and Samantha Obom and YingLiang Ma and Prince Acheampong and Harminder Gill and Jaspal Gill and Rinaldi, {Christopher Aldo} and O'Neill, {Mark D.} and Reza Razavi and Rhode, {Kawal S} and Tobias Schaeffter",

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AU - Karim, Rashed

AU - Chen, Zhong

AU - Obom, Samantha

AU - Ma, YingLiang

AU - Acheampong, Prince

AU - Gill, Harminder

AU - Gill, Jaspal

AU - Rinaldi, Christopher Aldo

AU - O'Neill, Mark D.

AU - Razavi, Reza

AU - Rhode, Kawal S

AU - Schaeffter, Tobias

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AB - Delayed-enhancement magnetic resonance imaging (DE-MRI) is an effective technique for imaging left ventricular (LV) infarct. Existing techniques for LV infarct segmentation are primarily threshold-based making them prone to high user variability. In this work, we propose a segmentation algorithm that can learn from training images and segment based on this training model. This is implemented as a Markov random field (MRF) based energy formulation solved using graph-cuts. A good agreement was found with the Full-Width-at-Half-Maximum (FWHM) technique.

KW - Segmentation

KW - Delayed-enhancement MRI

KW - Left ventricle

KW - Graph-cuts

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BT - Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges

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A2 - Mansi, Tommaso

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A2 - Sermesant, Maxime

A2 - Young, Alistair

PB - Springer

CY - Berlin

T2 - Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012

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ER -

Infarct segmentation of the left ventricle using graph-cuts

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Keywords

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