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  • Maier, O.Universitaet Zu Lübeck (author)

ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • Elsevier BV,2017

Numbers

  • LIBRIS-ID:oai:research.chalmers.se:9a156912-4805-432a-abc9-c58f5da0cbaf
  • https://research.chalmers.se/publication/246821URI
  • https://doi.org/10.1016/j.media.2016.07.009DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:art swepub-publicationtype
  • Subject category:ref swepub-contenttype

Notes

  • Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment, and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from magnetic resonance imaging (MRI) volumes are intensely researched, but the reported results are largely incomparable due to different datasets and evaluation schemes. We approached this urgent problem of comparability with the Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference. In this paper we propose a common evaluation framework, describe the publicly available datasets, and present the results of the two sub-challenges: Sub-Acute Stroke Lesion Segmentation (SISS) and Stroke Perfusion Estimation (SPES). A total of 16 research groups participated with a wide range of state-of-the-art automatic segmentation algorithms. A thorough analysis of the obtained data enables a critical evaluation of the current state-of-the-art, recommendations for further developments, and the identification of remaining challenges. The segmentation of acute perfusion lesions addressed in SPES was found to be feasible. However, algorithms applied to sub-acute lesion segmentation in SISS still lack accuracy. Overall, no algorithmic characteristic of any method was found to perform superior to the others. Instead, the characteristics of stroke lesion appearances, their evolution, and the observed challenges should be studied in detail. The annotated ISLES image datasets continue to be publicly available through an online evaluation system to serve as an ongoing benchmarking resource (www.isles-challenge.org).

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Menze, Bjoern H.Technische Universität München (TUM),Technical University of Munich (TUM) (author)
  • von der Gablentz, J.Universitaet Zu Lübeck (author)
  • Hani, L.Universität Bern,University of Bern (author)
  • Heinrich, MattiasUniversitaet Zu Lübeck (author)
  • Liebrand, M.Universitaet Zu Lübeck (author)
  • Winzeck, S.Technische Universität München (TUM),Technical University of Munich (TUM) (author)
  • Basit, A.Pakistan Institute of Nuclear Science and Technology (author)
  • Bentley, P.Imperial College of Science, Technology and Medicine (author)
  • Chen, L.Imperial College of Science, Technology and Medicine (author)
  • Christiaens, D.Katholieke Universiteit Leuven (author)
  • Dutil, F.Université de Sherbrooke (author)
  • Egger, K.Universitats Klinikum Freiburg und Medizinische Fakultat (author)
  • Feng, C. L.Northeastern University China (author)
  • Glocker, B.Imperial College of Science, Technology and Medicine (author)
  • Gotz, M.Deutsches Krebsforschungszentrum (DKFZ),German Cancer Research Center (DKFZ) (author)
  • Haeck, T.Katholieke Universiteit Leuven (author)
  • Halme, H. L.Helsingin Yliopisto,University of Helsinki,Aalto-Yliopisto,Aalto University (author)
  • Havaei, M.Université de Sherbrooke (author)
  • Iftekharuddin, K. M.Old Dominion University (author)
  • Jodoin, P. M.Université de Sherbrooke (author)
  • Kamnitsas, K.Imperial College of Science, Technology and Medicine (author)
  • Kellner, E.Universitats Klinikum Freiburg und Medizinische Fakultat (author)
  • Korvenoja, A.Helsingin Yliopisto,University of Helsinki (author)
  • Larochelle, H.Université de Sherbrooke (author)
  • Ledig, C.Imperial College of Science, Technology and Medicine (author)
  • Lee, J. H.National Taiwan University of Science and Technology (author)
  • Maes, F.Katholieke Universiteit Leuven (author)
  • Qaiser, Mahmood,1981Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)qaiserm (author)
  • Maier-Hein, K. H.Deutsches Krebsforschungszentrum (DKFZ),German Cancer Research Center (DKFZ) (author)
  • McKinley, R.UniversitatsSpital Bern (author)
  • Muschelli, J.Johns Hopkins University (author)
  • Pal, C.École Polytechnique de Montréal (author)
  • Pei, L. M.Old Dominion University (author)
  • Rangarajan, J. R.KU Leuven– University Hospital Leuven (author)
  • Reza, S. M. S.Old Dominion University (author)
  • Robben, D.Katholieke Universiteit Leuven (author)
  • Rueckert, D.Imperial College of Science, Technology and Medicine (author)
  • Salli, E.Helsingin Yliopisto,University of Helsinki (author)
  • Suetens, P.Katholieke Universiteit Leuven (author)
  • Wang, C. W.National Taiwan University of Science and Technology (author)
  • Wilms, M.Universitaet Zu Lübeck (author)
  • Kirschke, J. S. (author)
  • Kramer, U. M.Universitaet Zu Lübeck (author)
  • Munte, T. F.Universitaet Zu Lübeck (author)
  • Schramme, P. (author)
  • Wiest, R.UniversitatsSpital Bern (author)
  • Handels, H.Universitaet Zu Lübeck (author)
  • Reyes, M.Universität Bern,University of Bern (author)
  • Universitaet Zu LübeckTechnische Universität München (TUM) (creator_code:org_t)

Related titles

  • In:Medical Image Analysis: Elsevier BV35, s. 250-2691361-84151361-8423

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