Infarct segmentation challenge on delayed enhancement MRI of the left ventricle

Rashed Karim; Piet Claus; Zhong Chen; R. James Housden; Samantha Obom; Harminder Gill; YingLiang Ma; Prince Acheampong; Mark O'Neill; Reza Razavi; Tobias Schaeffter; Kawal S. Rhode

doi:10.1007/978-3-642-36961-2_12

Infarct segmentation challenge on delayed enhancement MRI of the left ventricle

Rashed Karim^*, Piet Claus, Zhong Chen, R. James Housden, Samantha Obom, Harminder Gill, YingLiang Ma, Prince Acheampong, Mark O'Neill, Reza Razavi, Tobias Schaeffter, Kawal S. Rhode

^*Corresponding author for this work

Fédération d'anesthésiologie-réanimation et de médecine hyperbare, hôpital d'instruction des armées du Val-de-Grâce, 75005 Paris, France; Inserm U676, hôpital Robert-Debré, 48, boulevard Sérurier, 75019 Paris, France; Université Paris Diderot, Sorbonne Paris Cité, UMRS 676, 75013 Paris, France; Centre for the Developing Brain, Department of Perinatal Imaging and Health, King's College London, London, Royaume-Uni. Electronic address: [email protected].
UPC KULeuven
Department of Cardiology
GSTT Guy's and St Thomas' NHS Foundation Trust
King's College London
Cardiovascular Imaging and Dynamics
Department of Cardiovascular Sciences

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

2 Citations (Scopus)

Abstract

This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained for each image and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges
Subtitle of host publication	Book Subtitle 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
Publisher	Springer Berlin Heidelberg
Pages	97-104
Number of pages	8
Volume	7746 LNCS
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_12
Publication status	Published - 2013
Event	3rd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012 - Nice, France Duration: 5 Oct 2012 → 5 Oct 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7746 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	3rd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012
Country/Territory	France
City	Nice
Period	5/10/2012 → 5/10/2012

Keywords

Delayed-Enhancement MRI
Left ventricle
Segmentation
Segmentation Challenge

Access to Document

10.1007/978-3-642-36961-2_12

Cite this

Karim, R., Claus, P., Chen, Z., Housden, R. J., Obom, S., Gill, H., Ma, Y., Acheampong, P., O'Neill, M., Razavi, R., Schaeffter, T., & Rhode, K. S. (2013). Infarct segmentation challenge on delayed enhancement MRI of the left ventricle. 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: Book Subtitle Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers (Vol. 7746 LNCS, pp. 97-104). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7746 LNCS). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-36961-2_12

Karim, Rashed ; Claus, Piet ; Chen, Zhong et al. / Infarct segmentation challenge on delayed enhancement MRI of the left ventricle. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Book Subtitle 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. Vol. 7746 LNCS Springer Berlin Heidelberg, 2013. pp. 97-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Infarct segmentation challenge on delayed enhancement MRI of the left ventricle",

abstract = "This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained for each image and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge. ",

keywords = "Delayed-Enhancement MRI, Left ventricle, Segmentation, Segmentation Challenge",

author = "Rashed Karim and Piet Claus and Zhong Chen and Housden, {R. James} and Samantha Obom and Harminder Gill and YingLiang Ma and Prince Acheampong and Mark O'Neill and Reza Razavi and Tobias Schaeffter and Rhode, {Kawal S.}",

year = "2013",

doi = "10.1007/978-3-642-36961-2_12",

language = "English",

isbn = "978-3-642-36960-5",

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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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pages = "97--104",

editor = "Oscar Camara and Tommaso Mansi and Mihaela Pop and Kawal Rhode and Maxime Sermesant and Alistair Young",

booktitle = "Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges",

note = "3rd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012 ; Conference date: 05-10-2012 Through 05-10-2012",

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Karim, R, Claus, P, Chen, Z , Housden, RJ, Obom, S, Gill, H, Ma, Y, Acheampong, P, O'Neill, M , Razavi, R , Schaeffter, T & Rhode, KS 2013, Infarct segmentation challenge on delayed enhancement MRI of the left ventricle. 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: Book Subtitle Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. vol. 7746 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7746 LNCS, Springer Berlin Heidelberg, pp. 97-104, 3rd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012, Nice, France, 5/10/2012. https://doi.org/10.1007/978-3-642-36961-2_12

Infarct segmentation challenge on delayed enhancement MRI of the left ventricle. / Karim, Rashed; Claus, Piet; Chen, Zhong et al.
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Book Subtitle 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. Vol. 7746 LNCS Springer Berlin Heidelberg, 2013. p. 97-104 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7746 LNCS).

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

TY - CHAP

T1 - Infarct segmentation challenge on delayed enhancement MRI of the left ventricle

AU - Karim, Rashed

AU - Claus, Piet

AU - Chen, Zhong

AU - Housden, R. James

AU - Obom, Samantha

AU - Gill, Harminder

AU - Ma, YingLiang

AU - Acheampong, Prince

AU - O'Neill, Mark

AU - Razavi, Reza

AU - Schaeffter, Tobias

AU - Rhode, Kawal S.

PY - 2013

Y1 - 2013

N2 - This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained for each image and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.

AB - This paper presents collated results from the Delayed Enhancement MRI (DE-MRI) segmentation challenge at MICCAI 2012. DE-MRI Images from fifteen patients and fifteen pigs were randomly selected from two different imaging centres. Three independent sets of manual segmentations were obtained for each image and included in this study. A ground truth consensus segmentation based on all human rater segmentations was obtained using an Expectation-Maximization (EM) method (the STAPLE method). Automated segmentations from five groups contributed to this challenge.

KW - Delayed-Enhancement MRI

KW - Left ventricle

KW - Segmentation

KW - Segmentation Challenge

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DO - 10.1007/978-3-642-36961-2_12

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SN - 978-3-642-36960-5

VL - 7746 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 97

EP - 104

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

A2 - Camara, Oscar

A2 - Mansi, Tommaso

A2 - Pop, Mihaela

A2 - Rhode, Kawal

A2 - Sermesant, Maxime

A2 - Young, Alistair

PB - Springer Berlin Heidelberg

T2 - 3rd International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2012

Y2 - 5 October 2012 through 5 October 2012

ER -

Karim R, Claus P, Chen Z , Housden RJ, Obom S, Gill H et al. Infarct segmentation challenge on delayed enhancement MRI of the left ventricle. 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: Book Subtitle Third International Workshop, STACOM 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 5, 2012, Revised Selected Papers. Vol. 7746 LNCS. Springer Berlin Heidelberg. 2013. p. 97-104. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-36961-2_12

Infarct segmentation challenge on delayed enhancement MRI of the left ventricle

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Keywords

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