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  • Bernard, OlivierUniversity of Lyon 1, France (author)

Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography.

  • Article/chapterEnglish2016

Publisher, publication year, extent ...

  • Institute of Electrical and Electronics Engineers (IEEE),2016
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:kth-180465
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-180465URI
  • https://doi.org/10.1109/TMI.2015.2503890DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-127780URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

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

Notes

  • QC 20230927
  • Funding agencies: Riksbankens Jubileumsfond; VINNOVA
  • Real-time 3D Echocardiography (RT3DE) has been proven to be an accurate tool for left ventricular (LV) volume assessment. However, identification of the LV endocardium remains a challenging task, mainly because of the low tissue/blood contrast of the images combined with typical artifacts. Several semi and fully automatic algorithms have been proposed for segmenting the endocardium in RT3DE data in order to extract relevant clinical indices, but a systematic and fair comparison between such methods has so far been impossible due to the lack of a publicly available common database. Here, we introduce a standardized evaluation framework to reliably evaluate and compare the performance of the algorithms developed to segment the LV border in RT3DE. A database consisting of 45 multivendor cardiac ultrasound recordings acquired at different centers with corresponding reference measurements from 3 experts are made available. The algorithms from nine research groups were quantitatively evaluated and compared using the proposed online platform. The results showed that the best methods produce promising results with respect to the experts' measurements for the extraction of clinical indices, and that they offer good segmentation precision in terms of mean distance error in the context of the experts' variability range. The platform remains open for new submissions.

Subject headings and genre

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

  • Bosch, J GErasmus MC, Netherlands (author)
  • Heyde, BrechtKatholieke University of Leuven, Belgium (author)
  • Alessandrini, MartinoKatholieke University of Leuven, Belgium (author)
  • Barbosa, DanielUniversity of Minho, Portugal (author)
  • Camarasu-Pop, SUniversity of Lyon 1, France (author)
  • Cervenansky, FUniversity of Lyon 1, France (author)
  • Valette, SUniversity of Lyon 1, France,University of Oxford, England (author)
  • Mirea, OKatholieke University of Leuven, Belgium (author)
  • Bernier, MUniversity of Sherbrooke, Canada (author)
  • Jodoin, P MUniversity of Sherbrooke, Canada,Kings Coll Hospital NHS Fdn Trust, England (author)
  • Domingos, J SUniversity of Oxford, England (author)
  • Stebbing, R V (author)
  • Keraudren, KUniversity of London Imperial Coll Science Technology and Med, England (author)
  • Oktay, OUniversity of London Imperial Coll Science Technology and Med, England (author)
  • Caballero, JUniversity of London Imperial Coll Science Technology and Med, England (author)
  • Shi, WUniversity of London Imperial Coll Science Technology and Med, England (author)
  • Rueckert, DUniversity of London Imperial Coll Science Technology and Med, England (author)
  • Milletari, FTechnical University of Munich, Germany (author)
  • Ahmadi, S AUniversity of Munich, Germany (author)
  • Smistad, ENorwegian University of Science and Technology, Norway (author)
  • Lindseth, FNorwegian University of Science and Technology, Norway (author)
  • van Stralen, MUniversity of Medical Centre Utrecht, Netherlands (author)
  • Wang, Chunliang,1980-KTH,Medicinsk bildbehandling och visualisering(Swepub:kth)u1tbkeej (author)
  • Smedby, Örjan,1956-Linköpings universitet,KTH,Medicinsk bildbehandling och visualisering,Avdelningen för radiologiska vetenskaper,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Röntgenkliniken i Linköping,Royal Institute of Technology—KTH, Sweden(Swepub:liu)orjsm14 (author)
  • Donal, EUniversity of Rennes 1, France; University of Rennes 1, France; University of Rennes 1, France (author)
  • Monaghan, M (author)
  • Papachristidis, AKings Coll Hospital NHS Fdn Trust, England (author)
  • Geleijnse, M LErasmus MC, Netherlands (author)
  • Galli, EUniversity of Rennes 1, France; University of Rennes 1, France; University of Rennes 1, France (author)
  • Dhooge, JanKatholieke University of Leuven, Belgium (author)
  • Wang, ChenLinköpings universitet,Institutionen för medicin och hälsa,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Royal Institute of Technology—KTH, Sweden(Swepub:liu)n/a (author)
  • University of Lyon 1, FranceErasmus MC, Netherlands (creator_code:org_t)

Related titles

  • In:IEEE Transactions on Medical Imaging: Institute of Electrical and Electronics Engineers (IEEE)35:4, s. 967-9770278-00621558-254X

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