Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.
Identifieur interne : 003852 ( PubMed/Curation ); précédent : 003851; suivant : 003853Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.
Auteurs : Geert Litjens [Pays-Bas] ; Robert Toth [États-Unis] ; Wendy Van De Ven [Pays-Bas] ; Caroline Hoeks [Pays-Bas] ; Sjoerd Kerkstra [Pays-Bas] ; Bram Van Ginneken [Pays-Bas] ; Graham Vincent [Royaume-Uni] ; Gwenael Guillard [Royaume-Uni] ; Neil Birbeck [États-Unis] ; Jindang Zhang [États-Unis] ; Robin Strand [Suède] ; Filip Malmberg [Suède] ; Yangming Ou [États-Unis] ; Christos Davatzikos [États-Unis] ; Matthias Kirschner [Allemagne] ; Florian Jung [Allemagne] ; Jing Yuan [Canada] ; Wu Qiu [Canada] ; Qinquan Gao [Royaume-Uni] ; Philip Eddie Edwards [Royaume-Uni] ; Bianca Maan [Pays-Bas] ; Ferdinand Van Der Heijden [Pays-Bas] ; Soumya Ghose [Espagne] ; Jhimli Mitra [Espagne] ; Jason Dowling [Australie] ; Dean Barratt [Royaume-Uni] ; Henkjan Huisman [Pays-Bas] ; Anant Madabhushi [États-Unis]Source :
- Medical image analysis [ 1361-8423 ] ; 2014.
Descripteurs français
- KwdFr :
- Algorithmes, Amélioration d'image (), Artéfacts, Humains, Imagerie par résonance magnétique (normes), Imagerie tridimensionnelle, Interprétation d'image assistée par ordinateur (), Mâle, Normes de référence, Reproductibilité des résultats, Sensibilité et spécificité, Tumeurs de la prostate (radiothérapie).
- MESH :
- normes : Imagerie par résonance magnétique.
- radiothérapie : Tumeurs de la prostate.
- Algorithmes, Amélioration d'image, Artéfacts, Humains, Imagerie tridimensionnelle, Interprétation d'image assistée par ordinateur, Mâle, Normes de référence, Reproductibilité des résultats, Sensibilité et spécificité.
English descriptors
- KwdEn :
- MESH :
- methods : Image Enhancement, Image Interpretation, Computer-Assisted.
- radiotherapy : Prostatic Neoplasms.
- standards : Magnetic Resonance Imaging.
- Algorithms, Artifacts, Humans, Imaging, Three-Dimensional, Male, Reference Standards, Reproducibility of Results, Sensitivity and Specificity.
Abstract
Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation is useful for various tasks, e.g. to accurately localize prostate boundaries for radiotherapy or to initialize multi-modal registration algorithms. In the past, it has been difficult for research groups to evaluate prostate segmentation algorithms on multi-center, multi-vendor and multi-protocol data. Especially because we are dealing with MR images, image appearance, resolution and the presence of artifacts are affected by differences in scanners and/or protocols, which in turn can have a large influence on algorithm accuracy. The Prostate MR Image Segmentation (PROMISE12) challenge was setup to allow a fair and meaningful comparison of segmentation methods on the basis of performance and robustness. In this work we will discuss the initial results of the online PROMISE12 challenge, and the results obtained in the live challenge workshop hosted by the MICCAI2012 conference. In the challenge, 100 prostate MR cases from 4 different centers were included, with differences in scanner manufacturer, field strength and protocol. A total of 11 teams from academic research groups and industry participated. Algorithms showed a wide variety in methods and implementation, including active appearance models, atlas registration and level sets. Evaluation was performed using boundary and volume based metrics which were combined into a single score relating the metrics to human expert performance. The winners of the challenge where the algorithms by teams Imorphics and ScrAutoProstate, with scores of 85.72 and 84.29 overall. Both algorithms where significantly better than all other algorithms in the challenge (p<0.05) and had an efficient implementation with a run time of 8min and 3s per case respectively. Overall, active appearance model based approaches seemed to outperform other approaches like multi-atlas registration, both on accuracy and computation time. Although average algorithm performance was good to excellent and the Imorphics algorithm outperformed the second observer on average, we showed that algorithm combination might lead to further improvement, indicating that optimal performance for prostate segmentation is not yet obtained. All results are available online at http://promise12.grand-challenge.org/.
DOI: 10.1016/j.media.2013.12.002
PubMed: 24418598
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Edwards</name><affiliation wicri:level="1"><nlm:affiliation>Imperial College London, England, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Imperial College London, England</wicri:regionArea></affiliation></author><author><name sortKey="Maan, Bianca" sort="Maan, Bianca" uniqKey="Maan B" first="Bianca" last="Maan">Bianca Maan</name><affiliation wicri:level="1"><nlm:affiliation>University of Twente, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>University of Twente</wicri:regionArea></affiliation></author><author><name sortKey="Van Der Heijden, Ferdinand" sort="Van Der Heijden, Ferdinand" uniqKey="Van Der Heijden F" first="Ferdinand" last="Van Der Heijden">Ferdinand Van Der Heijden</name><affiliation wicri:level="1"><nlm:affiliation>University of Twente, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>University of 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Scientific and Industrial Research Organisation, Australia; Université de Bourgogne, France; Universitat de Girona</wicri:regionArea></affiliation></author><author><name sortKey="Dowling, Jason" sort="Dowling, Jason" uniqKey="Dowling J" first="Jason" last="Dowling">Jason Dowling</name><affiliation wicri:level="1"><nlm:affiliation>Commonwealth Scientific and Industrial Research Organisation, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organisation</wicri:regionArea></affiliation></author><author><name sortKey="Barratt, Dean" sort="Barratt, Dean" uniqKey="Barratt D" first="Dean" last="Barratt">Dean Barratt</name><affiliation wicri:level="1"><nlm:affiliation>University College London, England, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>University College London, England</wicri:regionArea></affiliation></author><author><name sortKey="Huisman, Henkjan" sort="Huisman, Henkjan" uniqKey="Huisman H" first="Henkjan" last="Huisman">Henkjan Huisman</name><affiliation wicri:level="1"><nlm:affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Radboud University Nijmegen Medical Centre</wicri:regionArea></affiliation></author><author><name sortKey="Madabhushi, Anant" sort="Madabhushi, Anant" uniqKey="Madabhushi A" first="Anant" last="Madabhushi">Anant Madabhushi</name><affiliation wicri:level="1"><nlm:affiliation>Case Western Reserve University, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Case Western Reserve University</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:24418598</idno><idno type="pmid">24418598</idno><idno type="doi">10.1016/j.media.2013.12.002</idno><idno 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Electronic address: g.litjens@rad.umcn.nl.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Radboud University Nijmegen Medical Centre</wicri:regionArea></affiliation></author><author><name sortKey="Toth, Robert" sort="Toth, Robert" uniqKey="Toth R" first="Robert" last="Toth">Robert Toth</name><affiliation wicri:level="1"><nlm:affiliation>Case Western Reserve University, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Case Western Reserve University</wicri:regionArea></affiliation></author><author><name sortKey="Van De Ven, Wendy" sort="Van De Ven, Wendy" uniqKey="Van De Ven W" first="Wendy" last="Van De Ven">Wendy Van De Ven</name><affiliation wicri:level="1"><nlm:affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Radboud University Nijmegen Medical Centre</wicri:regionArea></affiliation></author><author><name sortKey="Hoeks, Caroline" sort="Hoeks, Caroline" uniqKey="Hoeks C" first="Caroline" last="Hoeks">Caroline Hoeks</name><affiliation wicri:level="1"><nlm:affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Radboud University Nijmegen Medical Centre</wicri:regionArea></affiliation></author><author><name sortKey="Kerkstra, Sjoerd" sort="Kerkstra, Sjoerd" uniqKey="Kerkstra S" first="Sjoerd" last="Kerkstra">Sjoerd Kerkstra</name><affiliation wicri:level="1"><nlm:affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Radboud University Nijmegen Medical Centre</wicri:regionArea></affiliation></author><author><name sortKey="Van Ginneken, Bram" sort="Van Ginneken, Bram" uniqKey="Van Ginneken B" first="Bram" last="Van Ginneken">Bram Van Ginneken</name><affiliation wicri:level="1"><nlm:affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Radboud University Nijmegen Medical Centre</wicri:regionArea></affiliation></author><author><name sortKey="Vincent, Graham" sort="Vincent, Graham" uniqKey="Vincent G" first="Graham" last="Vincent">Graham Vincent</name><affiliation wicri:level="1"><nlm:affiliation>Imorphics, England, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Imorphics, England</wicri:regionArea></affiliation></author><author><name sortKey="Guillard, Gwenael" sort="Guillard, Gwenael" uniqKey="Guillard G" first="Gwenael" last="Guillard">Gwenael Guillard</name><affiliation wicri:level="1"><nlm:affiliation>Imorphics, England, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Imorphics, England</wicri:regionArea></affiliation></author><author><name sortKey="Birbeck, Neil" sort="Birbeck, Neil" uniqKey="Birbeck N" first="Neil" last="Birbeck">Neil Birbeck</name><affiliation wicri:level="1"><nlm:affiliation>Siemens Corporate Research, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Siemens Corporate Research</wicri:regionArea></affiliation></author><author><name sortKey="Zhang, Jindang" sort="Zhang, Jindang" uniqKey="Zhang J" first="Jindang" last="Zhang">Jindang Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Siemens Corporate Research, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Siemens Corporate Research</wicri:regionArea></affiliation></author><author><name sortKey="Strand, Robin" sort="Strand, Robin" uniqKey="Strand R" first="Robin" last="Strand">Robin Strand</name><affiliation wicri:level="1"><nlm:affiliation>Uppsala University, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Uppsala University</wicri:regionArea></affiliation></author><author><name sortKey="Malmberg, Filip" sort="Malmberg, Filip" uniqKey="Malmberg F" first="Filip" last="Malmberg">Filip Malmberg</name><affiliation wicri:level="1"><nlm:affiliation>Uppsala University, Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>Uppsala University</wicri:regionArea></affiliation></author><author><name sortKey="Ou, Yangming" sort="Ou, Yangming" uniqKey="Ou Y" first="Yangming" last="Ou">Yangming Ou</name><affiliation wicri:level="1"><nlm:affiliation>University of Pennsylvania, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of Pennsylvania</wicri:regionArea></affiliation></author><author><name sortKey="Davatzikos, Christos" sort="Davatzikos, Christos" uniqKey="Davatzikos C" first="Christos" last="Davatzikos">Christos Davatzikos</name><affiliation wicri:level="1"><nlm:affiliation>University of Pennsylvania, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>University of Pennsylvania</wicri:regionArea></affiliation></author><author><name sortKey="Kirschner, Matthias" sort="Kirschner, Matthias" uniqKey="Kirschner M" first="Matthias" last="Kirschner">Matthias Kirschner</name><affiliation wicri:level="1"><nlm:affiliation>Technische Universitat Darmstadt, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Technische Universitat Darmstadt</wicri:regionArea></affiliation></author><author><name sortKey="Jung, Florian" sort="Jung, Florian" uniqKey="Jung F" first="Florian" last="Jung">Florian Jung</name><affiliation wicri:level="1"><nlm:affiliation>Technische Universitat Darmstadt, Germany.</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Technische Universitat Darmstadt</wicri:regionArea></affiliation></author><author><name sortKey="Yuan, Jing" sort="Yuan, Jing" uniqKey="Yuan J" first="Jing" last="Yuan">Jing Yuan</name><affiliation wicri:level="1"><nlm:affiliation>Robarts Research Institute, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Robarts Research Institute</wicri:regionArea></affiliation></author><author><name sortKey="Qiu, Wu" sort="Qiu, Wu" uniqKey="Qiu W" first="Wu" last="Qiu">Wu Qiu</name><affiliation wicri:level="1"><nlm:affiliation>Robarts Research Institute, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>Robarts Research Institute</wicri:regionArea></affiliation></author><author><name sortKey="Gao, Qinquan" sort="Gao, Qinquan" uniqKey="Gao Q" first="Qinquan" last="Gao">Qinquan Gao</name><affiliation wicri:level="1"><nlm:affiliation>Imperial College London, England, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Imperial College London, England</wicri:regionArea></affiliation></author><author><name sortKey="Edwards, Philip Eddie" sort="Edwards, Philip Eddie" uniqKey="Edwards P" first="Philip Eddie" last="Edwards">Philip Eddie Edwards</name><affiliation wicri:level="1"><nlm:affiliation>Imperial College London, England, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Imperial College London, England</wicri:regionArea></affiliation></author><author><name sortKey="Maan, Bianca" sort="Maan, Bianca" uniqKey="Maan B" first="Bianca" last="Maan">Bianca Maan</name><affiliation wicri:level="1"><nlm:affiliation>University of Twente, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>University of Twente</wicri:regionArea></affiliation></author><author><name sortKey="Van Der Heijden, Ferdinand" sort="Van Der Heijden, Ferdinand" uniqKey="Van Der Heijden F" first="Ferdinand" last="Van Der Heijden">Ferdinand Van Der Heijden</name><affiliation wicri:level="1"><nlm:affiliation>University of Twente, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>University of Twente</wicri:regionArea></affiliation></author><author><name sortKey="Ghose, Soumya" sort="Ghose, Soumya" uniqKey="Ghose S" first="Soumya" last="Ghose">Soumya Ghose</name><affiliation wicri:level="1"><nlm:affiliation>Commonwealth Scientific and Industrial Research Organisation, Australia; Université de Bourgogne, France; Universitat de Girona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organisation, Australia; Université de Bourgogne, France; Universitat de Girona</wicri:regionArea></affiliation></author><author><name sortKey="Mitra, Jhimli" sort="Mitra, Jhimli" uniqKey="Mitra J" first="Jhimli" last="Mitra">Jhimli Mitra</name><affiliation wicri:level="1"><nlm:affiliation>Commonwealth Scientific and Industrial Research Organisation, Australia; Université de Bourgogne, France; Universitat de Girona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organisation, Australia; Université de Bourgogne, France; Universitat de Girona</wicri:regionArea></affiliation></author><author><name sortKey="Dowling, Jason" sort="Dowling, Jason" uniqKey="Dowling J" first="Jason" last="Dowling">Jason Dowling</name><affiliation wicri:level="1"><nlm:affiliation>Commonwealth Scientific and Industrial Research Organisation, Australia.</nlm:affiliation><country xml:lang="fr">Australie</country><wicri:regionArea>Commonwealth Scientific and Industrial Research Organisation</wicri:regionArea></affiliation></author><author><name sortKey="Barratt, Dean" sort="Barratt, Dean" uniqKey="Barratt D" first="Dean" last="Barratt">Dean Barratt</name><affiliation wicri:level="1"><nlm:affiliation>University College London, England, United Kingdom.</nlm:affiliation><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>University College London, England</wicri:regionArea></affiliation></author><author><name sortKey="Huisman, Henkjan" sort="Huisman, Henkjan" uniqKey="Huisman H" first="Henkjan" last="Huisman">Henkjan Huisman</name><affiliation wicri:level="1"><nlm:affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</nlm:affiliation><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Radboud University Nijmegen Medical Centre</wicri:regionArea></affiliation></author><author><name sortKey="Madabhushi, Anant" sort="Madabhushi, Anant" uniqKey="Madabhushi A" first="Anant" last="Madabhushi">Anant Madabhushi</name><affiliation wicri:level="1"><nlm:affiliation>Case Western Reserve University, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Case Western Reserve University</wicri:regionArea></affiliation></author></analytic><series><title level="j">Medical image analysis</title><idno type="eISSN">1361-8423</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Artifacts</term><term>Humans</term><term>Image Enhancement (methods)</term><term>Image Interpretation, Computer-Assisted (methods)</term><term>Imaging, Three-Dimensional</term><term>Magnetic Resonance Imaging (standards)</term><term>Male</term><term>Prostatic Neoplasms (radiotherapy)</term><term>Reference Standards</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Algorithmes</term><term>Amélioration d'image ()</term><term>Artéfacts</term><term>Humains</term><term>Imagerie par résonance magnétique (normes)</term><term>Imagerie tridimensionnelle</term><term>Interprétation d'image assistée par ordinateur ()</term><term>Mâle</term><term>Normes de référence</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term><term>Tumeurs de la prostate (radiothérapie)</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Enhancement</term><term>Image Interpretation, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="normes" xml:lang="fr"><term>Imagerie par résonance magnétique</term></keywords><keywords scheme="MESH" qualifier="radiotherapy" xml:lang="en"><term>Prostatic Neoplasms</term></keywords><keywords scheme="MESH" qualifier="radiothérapie" xml:lang="fr"><term>Tumeurs de la prostate</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Artifacts</term><term>Humans</term><term>Imaging, Three-Dimensional</term><term>Male</term><term>Reference Standards</term><term>Reproducibility of Results</term><term>Sensitivity and Specificity</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Algorithmes</term><term>Amélioration d'image</term><term>Artéfacts</term><term>Humains</term><term>Imagerie tridimensionnelle</term><term>Interprétation d'image assistée par ordinateur</term><term>Mâle</term><term>Normes de référence</term><term>Reproductibilité des résultats</term><term>Sensibilité et spécificité</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation is useful for various tasks, e.g. to accurately localize prostate boundaries for radiotherapy or to initialize multi-modal registration algorithms. In the past, it has been difficult for research groups to evaluate prostate segmentation algorithms on multi-center, multi-vendor and multi-protocol data. Especially because we are dealing with MR images, image appearance, resolution and the presence of artifacts are affected by differences in scanners and/or protocols, which in turn can have a large influence on algorithm accuracy. The Prostate MR Image Segmentation (PROMISE12) challenge was setup to allow a fair and meaningful comparison of segmentation methods on the basis of performance and robustness. In this work we will discuss the initial results of the online PROMISE12 challenge, and the results obtained in the live challenge workshop hosted by the MICCAI2012 conference. In the challenge, 100 prostate MR cases from 4 different centers were included, with differences in scanner manufacturer, field strength and protocol. A total of 11 teams from academic research groups and industry participated. Algorithms showed a wide variety in methods and implementation, including active appearance models, atlas registration and level sets. Evaluation was performed using boundary and volume based metrics which were combined into a single score relating the metrics to human expert performance. The winners of the challenge where the algorithms by teams Imorphics and ScrAutoProstate, with scores of 85.72 and 84.29 overall. Both algorithms where significantly better than all other algorithms in the challenge (p<0.05) and had an efficient implementation with a run time of 8min and 3s per case respectively. Overall, active appearance model based approaches seemed to outperform other approaches like multi-atlas registration, both on accuracy and computation time. Although average algorithm performance was good to excellent and the Imorphics algorithm outperformed the second observer on average, we showed that algorithm combination might lead to further improvement, indicating that optimal performance for prostate segmentation is not yet obtained. All results are available online at http://promise12.grand-challenge.org/.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24418598</PMID><DateCreated><Year>2014</Year><Month>02</Month><Day>11</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>12</Day></DateCompleted><DateRevised><Year>2016</Year><Month>10</Month><Day>19</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1361-8423</ISSN><JournalIssue CitedMedium="Internet"><Volume>18</Volume><Issue>2</Issue><PubDate><Year>2014</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Medical image analysis</Title><ISOAbbreviation>Med Image Anal</ISOAbbreviation></Journal><ArticleTitle>Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.</ArticleTitle><Pagination><MedlinePgn>359-73</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.media.2013.12.002</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S1361-8415(13)00173-4</ELocationID><Abstract><AbstractText>Prostate MRI image segmentation has been an area of intense research due to the increased use of MRI as a modality for the clinical workup of prostate cancer. Segmentation is useful for various tasks, e.g. to accurately localize prostate boundaries for radiotherapy or to initialize multi-modal registration algorithms. In the past, it has been difficult for research groups to evaluate prostate segmentation algorithms on multi-center, multi-vendor and multi-protocol data. Especially because we are dealing with MR images, image appearance, resolution and the presence of artifacts are affected by differences in scanners and/or protocols, which in turn can have a large influence on algorithm accuracy. The Prostate MR Image Segmentation (PROMISE12) challenge was setup to allow a fair and meaningful comparison of segmentation methods on the basis of performance and robustness. In this work we will discuss the initial results of the online PROMISE12 challenge, and the results obtained in the live challenge workshop hosted by the MICCAI2012 conference. In the challenge, 100 prostate MR cases from 4 different centers were included, with differences in scanner manufacturer, field strength and protocol. A total of 11 teams from academic research groups and industry participated. Algorithms showed a wide variety in methods and implementation, including active appearance models, atlas registration and level sets. Evaluation was performed using boundary and volume based metrics which were combined into a single score relating the metrics to human expert performance. The winners of the challenge where the algorithms by teams Imorphics and ScrAutoProstate, with scores of 85.72 and 84.29 overall. Both algorithms where significantly better than all other algorithms in the challenge (p<0.05) and had an efficient implementation with a run time of 8min and 3s per case respectively. Overall, active appearance model based approaches seemed to outperform other approaches like multi-atlas registration, both on accuracy and computation time. Although average algorithm performance was good to excellent and the Imorphics algorithm outperformed the second observer on average, we showed that algorithm combination might lead to further improvement, indicating that optimal performance for prostate segmentation is not yet obtained. All results are available online at http://promise12.grand-challenge.org/.</AbstractText><CopyrightInformation>Copyright © 2013 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Litjens</LastName><ForeName>Geert</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Radboud University Nijmegen Medical Centre, The Netherlands. Electronic address: g.litjens@rad.umcn.nl.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Toth</LastName><ForeName>Robert</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Case Western Reserve University, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>van de Ven</LastName><ForeName>Wendy</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hoeks</LastName><ForeName>Caroline</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kerkstra</LastName><ForeName>Sjoerd</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>van Ginneken</LastName><ForeName>Bram</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Vincent</LastName><ForeName>Graham</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Imorphics, England, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Guillard</LastName><ForeName>Gwenael</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Imorphics, England, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Birbeck</LastName><ForeName>Neil</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Siemens Corporate Research, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Jindang</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Siemens Corporate Research, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Strand</LastName><ForeName>Robin</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Uppsala University, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Malmberg</LastName><ForeName>Filip</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Uppsala University, Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ou</LastName><ForeName>Yangming</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>University of Pennsylvania, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Davatzikos</LastName><ForeName>Christos</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>University of Pennsylvania, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kirschner</LastName><ForeName>Matthias</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Technische Universitat Darmstadt, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jung</LastName><ForeName>Florian</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Technische Universitat Darmstadt, Germany.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yuan</LastName><ForeName>Jing</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Robarts Research Institute, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Qiu</LastName><ForeName>Wu</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Robarts Research Institute, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gao</LastName><ForeName>Qinquan</ForeName><Initials>Q</Initials><AffiliationInfo><Affiliation>Imperial College London, England, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Edwards</LastName><ForeName>Philip Eddie</ForeName><Initials>PE</Initials><AffiliationInfo><Affiliation>Imperial College London, England, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Maan</LastName><ForeName>Bianca</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>University of Twente, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>van der Heijden</LastName><ForeName>Ferdinand</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>University of Twente, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ghose</LastName><ForeName>Soumya</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Commonwealth Scientific and Industrial Research Organisation, Australia; Université de Bourgogne, France; Universitat de Girona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mitra</LastName><ForeName>Jhimli</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Commonwealth Scientific and Industrial Research Organisation, Australia; Université de Bourgogne, France; Universitat de Girona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Dowling</LastName><ForeName>Jason</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>Commonwealth Scientific and Industrial Research Organisation, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Barratt</LastName><ForeName>Dean</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>University College London, England, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Huisman</LastName><ForeName>Henkjan</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Radboud University Nijmegen Medical Centre, The Netherlands.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Madabhushi</LastName><ForeName>Anant</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Case Western Reserve University, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01CA140772-01</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R43EB015199-01</GrantID><Acronym>EB</Acronym><Agency>NIBIB NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R21 CA167811</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 CA136535</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R43 EB015199</GrantID><Acronym>EB</Acronym><Agency>NIBIB NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01CA136535-01</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R21 CA179327</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R21CA167811-01</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>R01 CA140772</GrantID><Acronym>CA</Acronym><Agency>NCI NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D023362">Evaluation Studies</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016448">Multicenter Study</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate 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Computer-Assisted</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D021621" MajorTopicYN="N">Imaging, Three-Dimensional</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008279" MajorTopicYN="N">Magnetic Resonance Imaging</DescriptorName><QualifierName UI="Q000592" MajorTopicYN="Y">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011471" MajorTopicYN="N">Prostatic Neoplasms</DescriptorName><QualifierName UI="Q000532" MajorTopicYN="Y">radiotherapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012015" MajorTopicYN="N">Reference Standards</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015203" MajorTopicYN="N">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012680" MajorTopicYN="N">Sensitivity and Specificity</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">NIHMS604768</OtherID><OtherID Source="NLM">PMC4137968</OtherID><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Challenge</Keyword><Keyword MajorTopicYN="N">MRI</Keyword><Keyword MajorTopicYN="N">Prostate</Keyword><Keyword MajorTopicYN="N">Segmentation</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>04</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>12</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>12</Month><Day>05</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>1</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>1</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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|area= AustralieFrV1
|flux= PubMed
|étape= Curation
|type= RBID
|clé= pubmed:24418598
|texte= Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.
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Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:24418598" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \
| NlmPubMed2Wicri -a AustralieFrV1
| This area was generated with Dilib version V0.6.33. |  |