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  • Kirişli, HortenseErasmus MC, Rotterdam, The Netherlands,Biomedical Imaging Group Rotterdam (author)

Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography

  • Article/chapterEnglish2013

Publisher, publication year, extent ...

  • Elsevier,2013
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-95876
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95876URI
  • https://doi.org/10.1016/j.media.2013.05.007DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-258850URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

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

Notes

  • QC 20191025
  • Though conventional coronary angiography (CCA) has been the standard of reference for diagnosing coronary artery disease in the past decades, computed tomography angiography (CIA) has rapidly emerged, and is nowadays widely used in clinical practice. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms devised to detect and quantify the coronary artery stenoses, and to segment the coronary artery lumen in CIA data. The objective of this evaluation framework is to demonstrate the feasibility of dedicated algorithms to: (I) (semi-)automatically detect and quantify stenosis on CIA, in comparison with quantitative coronary angiography (QCA) and CIA consensus reading, and (2) (semi-)automatically segment the coronary lumen on CIA, in comparison with expert's manual annotation. A database consisting of 48 multicenter multivendor cardiac CIA datasets with corresponding reference standards are described and made available. The algorithms from 11 research groups were quantitatively evaluated and compared. The results show that (1) some of the current stenosis detection/quantification algorithms may be used for triage or as a second-reader in clinical practice, and that (2) automatic lumen segmentation is possible with a precision similar to that obtained by experts. The framework is open for new submissions through the website, at http://coronary.bigr.nl/stenoses/.

Subject headings and genre

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

  • Schaap, M.Erasmus MC, Rotterdam, The Netherlands,Toshiba Medical Visualization Systems, Edinburgh, UK (author)
  • Metz, C. T.Erasmus MC, Rotterdam, The Netherlands (author)
  • Dharampal, A. S.Erasmus MC, Rotterdam, The Netherlands (author)
  • Meijboom, W. B.Erasmus MC, Rotterdam, The Netherlands (author)
  • Papadopoulou, S. L.Erasmus MC, Rotterdam, The Netherlands (author)
  • Dedic, A.Erasmus MC, Rotterdam, The Netherlands (author)
  • Nieman, K.Erasmus MC, Rotterdam, The Netherlands (author)
  • de Graaf, M. A.Leiden UMC, The Netherlands (author)
  • Meijs, M. F. L.UMC Utrecht, The Netherlands (author)
  • Cramer, M. J.UMC Utrecht, The Netherlands (author)
  • Broersen, A.Leiden UMC, The Netherlands (author)
  • Cetin, S.SabancıUniversity, Turkey (author)
  • Eslami, A.Technical University of Munich, Germany (author)
  • Flórez-Valencia, L.Pontificia Universidad Javeriana, Bogotá, Colombia (author)
  • Lor, K.L.National Taiwan University, Taipei, Taiwan (author)
  • Matuszewski, B.University of Central Lancashire, Preston, UK (author)
  • Melki, I.Université Paris-Est, France (author)
  • Mohr, B.Toshiba Medical Visualization Systems, Edinburgh, UK (author)
  • Öksüz, I.Bahçeşehir University, Istanbul, Turkey (author)
  • Shahzad, R.Erasmus MC, Rotterdam The Netherlands (author)
  • Wang, ChunliangLinköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Hälsouniversitetet,Center for Medical Imaging Science and Visualization, Dept.of Medical and Health Sciences, Linköping University, Linköping(Swepub:kth)u1tbkeej (author)
  • Kitslaar, P. H.Leiden UMC, The Netherlands (author)
  • Unal, G.Sabancı University, Turkey (author)
  • Katouzian, A.Technical University of Munich, Germany (author)
  • Orkisz, M.Université de Lyon, France (author)
  • Chen, C.M.National Taiwan University, Taipei, Taiwan (author)
  • Precioso, F.University Nice-Sophia Antipolis, France (author)
  • Najman, L.Université Paris-Est, France (author)
  • Masood, S.Toshiba Medical Visualization Systems, Edinburgh, UK (author)
  • Ünay, D.Bahçeşehir University, Istanbul, Turkey (author)
  • van Vliet, L.Delft University of Technology, The Netherlands (author)
  • Moreno, Rodrigo,1973-Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för radiologiska vetenskaper,Hälsouniversitetet(Swepub:liu)rodmo29 (author)
  • Goldenberg, R.Rcadia Medical Imaging, Haïfa, Israel (author)
  • Vuçini, E.VRVis Research Center for Virtual Reality and Visualization, Vienna, Austria (author)
  • Krestin, G. P.Erasmus MC, Rotterdam, The Netherlands (author)
  • Niessen, W. J.Erasmus MC, Rotterdam, The Netherlands (author)
  • van Walsum, T.Erasmus MC, Rotterdam, The Netherlands (author)
  • Kiri\csli, H A (author)
  • Erasmus MC, Rotterdam, The NetherlandsBiomedical Imaging Group Rotterdam (creator_code:org_t)

Related titles

  • In:Medical Image Analysis: Elsevier17:8, s. 859-8761361-84151361-8423

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