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dc.contributor.authorKarim, Rasheden_US
dc.contributor.authorHousden, R Jamesen_US
dc.contributor.authorBalasubramaniam, Mayuragobanen_US
dc.contributor.authorChen, Zhongen_US
dc.contributor.authorPerry, Danielen_US
dc.contributor.authorUddin, Ayeshaen_US
dc.contributor.authorAl-Beyatti, Yosraen_US
dc.contributor.authorPalkhi, Ebrahimen_US
dc.contributor.authorAcheampong, Princeen_US
dc.contributor.authorObom, Samanthaen_US
dc.contributor.authorHennemuth, Anjaen_US
dc.contributor.authorLu, YingLien_US
dc.contributor.authorBai, Wenjiaen_US
dc.contributor.authorShi, Wenzheen_US
dc.contributor.authorGao, Yien_US
dc.contributor.authorPeitgen, Heinz-Ottoen_US
dc.contributor.authorRadau, Perryen_US
dc.contributor.authorRazavi, Rezaen_US
dc.contributor.authorTannenbaum, Allenen_US
dc.contributor.authorRueckert, Danielen_US
dc.contributor.authorCates, Joshen_US
dc.contributor.authorSchaeffter, Tobiasen_US
dc.contributor.authorPeters, Danaen_US
dc.contributor.authorMacLeod, Roben_US
dc.contributor.authorRhode, Kawalen_US
dc.date.accessioned2014-03-11T13:27:51Z
dc.date.issued2013en_US
dc.identifier.citationKarim, R., R. J. Housden, M. Balasubramaniam, Z. Chen, D. Perry, A. Uddin, Y. Al-Beyatti, et al. 2013. “Evaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challenge.” Journal of Cardiovascular Magnetic Resonance 15 (1): 105. doi:10.1186/1532-429X-15-105. http://dx.doi.org/10.1186/1532-429X-15-105.en
dc.identifier.issn1097-6647en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:11879717
dc.description.abstractBackground: Late Gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging can be used to visualise regions of fibrosis and scarring in the left atrium (LA) myocardium. This can be important for treatment stratification of patients with atrial fibrillation (AF) and for assessment of treatment after radio frequency catheter ablation (RFCA). In this paper we present a standardised evaluation benchmarking framework for algorithms segmenting fibrosis and scar from LGE CMR images. The algorithms reported are the response to an open challenge that was put to the medical imaging community through an ISBI (IEEE International Symposium on Biomedical Imaging) workshop. Methods: The image database consisted of 60 multicenter, multivendor LGE CMR image datasets from patients with AF, with 30 images taken before and 30 after RFCA for the treatment of AF. A reference standard for scar and fibrosis was established by merging manual segmentations from three observers. Furthermore, scar was also quantified using 2, 3 and 4 standard deviations (SD) and full-width-at-half-maximum (FWHM) methods. Seven institutions responded to the challenge: Imperial College (IC), Mevis Fraunhofer (MV), Sunnybrook Health Sciences (SY), Harvard/Boston University (HB), Yale School of Medicine (YL), King’s College London (KCL) and Utah CARMA (UTA, UTB). There were 8 different algorithms evaluated in this study. Results: Some algorithms were able to perform significantly better than SD and FWHM methods in both pre- and post-ablation imaging. Segmentation in pre-ablation images was challenging and good correlation with the reference standard was found in post-ablation images. Overlap scores (out of 100) with the reference standard were as follows: Pre: IC = 37, MV = 22, SY = 17, YL = 48, KCL = 30, UTA = 42, UTB = 45; Post: IC = 76, MV = 85, SY = 73, HB = 76, YL = 84, KCL = 78, UTA = 78, UTB = 72. Conclusions: The study concludes that currently no algorithm is deemed clearly better than others. There is scope for further algorithmic developments in LA fibrosis and scar quantification from LGE CMR images. Benchmarking of future scar segmentation algorithms is thus important. The proposed benchmarking framework is made available as open-source and new participants can evaluate their algorithms via a web-based interface.en
dc.language.isoen_USen
dc.publisherBioMed Centralen
dc.relation.isversionofdoi:10.1186/1532-429X-15-105en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878126/pdf/en
dash.licenseLAAen_US
dc.subjectLate gadolinium enhancementen
dc.subjectCardiovascular magnetic resonanceen
dc.subjectAtrial fibrillationen
dc.subjectSegmentationen
dc.subjectAlgorithm benchmarkingen
dc.titleEvaluation of current algorithms for segmentation of scar tissue from late Gadolinium enhancement cardiovascular magnetic resonance of the left atrium: an open-access grand challengeen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalJournal of Cardiovascular Magnetic Resonanceen
dc.date.available2014-03-11T13:27:51Z
dc.identifier.doi10.1186/1532-429X-15-105*
dash.authorsorderedfalse


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