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  • Agn, MikaelTechnical University of Denmark (author)

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning

  • Article/chapterEnglish2019

Publisher, publication year, extent ...

  • Elsevier BV,2019
  • 18 s.

Numbers

  • LIBRIS-ID:oai:lup.lub.lu.se:a7d19e6e-7e8b-462f-905f-db9b576592dc
  • https://lup.lub.lu.se/record/a7d19e6e-7e8b-462f-905f-db9b576592dcURI
  • https://doi.org/10.1016/j.media.2019.03.005DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

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

Notes

  • In this paper we present a method for simultaneously segmenting brain tumors and an extensive set of organs-at-risk for radiation therapy planning of glioblastomas. The method combines a contrast-adaptive generative model for whole-brain segmentation with a new spatial regularization model of tumor shape using convolutional restricted Boltzmann machines. We demonstrate experimentally that the method is able to adapt to image acquisitions that differ substantially from any available training data, ensuring its applicability across treatment sites; that its tumor segmentation accuracy is comparable to that of the current state of the art; and that it captures most organs-at-risk sufficiently well for radiation therapy planning purposes. The proposed method may be a valuable step towards automating the delineation of brain tumors and organs-at-risk in glioblastoma patients undergoing radiation therapy.

Subject headings and genre

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

  • Munck af Rosenschöld, PerLund University,Lunds universitet,Medicinsk strålningsfysik, Malmö,Forskargrupper vid Lunds universitet,Medical Radiation Physics, Malmö,Lund University Research Groups,Skåne University Hospital(Swepub:lu)pe1188mu (author)
  • Puonti, OulaHvidovre Hospital (author)
  • Lundemann, Michael J.Copenhagen University Hospital (author)
  • Mancini, LauraUniversity College London,Great Ormond Street Hospital (author)
  • Papadaki, AnastasiaGreat Ormond Street Hospital,University College London (author)
  • Thust, SteffiGreat Ormond Street Hospital,University College London (author)
  • Ashburner, JohnUniversity College London (author)
  • Law, IanCopenhagen University Hospital (author)
  • Van Leemput, KoenMassachusetts General Hospital,Technical University of Denmark (author)
  • Technical University of DenmarkMedicinsk strålningsfysik, Malmö (creator_code:org_t)

Related titles

  • In:Medical Image Analysis: Elsevier BV54, s. 220-2371361-8415

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