論文

査読有り 本文へのリンクあり
2018年3月18日

Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size

SIMULATION AND SYNTHESIS IN MEDICAL IMAGING
  • Yuta Hiasa
  • ,
  • Yoshito Otake
  • ,
  • Masaki Takao
  • ,
  • Takumi Matsuoka
  • ,
  • Kazuma Takashima
  • ,
  • Jerry L. Prince
  • ,
  • Nobuhiko Sugano
  • ,
  • Yoshinobu Sato

11037
開始ページ
31
終了ページ
41
記述言語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1007/978-3-030-00536-8_4
出版者・発行元
Springer

CT is commonly used in orthopedic procedures. MRI is used along with CT to
identify muscle structures and diagnose osteonecrosis due to its superior soft
tissue contrast. However, MRI has poor contrast for bone structures. Clearly,
it would be helpful if a corresponding CT were available, as bone boundaries
are more clearly seen and CT has standardized (i.e., Hounsfield) units.
Therefore, we aim at MR-to-CT synthesis. The CycleGAN was successfully applied
to unpaired CT and MR images of the head, these images do not have as much
variation of intensity pairs as do images in the pelvic region due to the
presence of joints and muscles. In this paper, we extended the CycleGAN
approach by adding the gradient consistency loss to improve the accuracy at the
boundaries. We conducted two experiments. To evaluate image synthesis, we
investigated dependency of image synthesis accuracy on 1) the number of
training data and 2) the gradient consistency loss. To demonstrate the
applicability of our method, we also investigated a segmentation accuracy on
synthesized images.

リンク情報
DOI
https://doi.org/10.1007/978-3-030-00536-8_4
DBLP
https://dblp.uni-trier.de/rec/conf/miccai/HiasaOTMTCPSS18
arXiv
http://arxiv.org/abs/arXiv:1803.06629
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000477752900004&DestApp=WOS_CPL
URL
http://arxiv.org/abs/1803.06629v3
URL
http://arxiv.org/pdf/1803.06629v3 本文へのリンクあり
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85053912661&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85053912661&origin=inward
ID情報
  • DOI : 10.1007/978-3-030-00536-8_4
  • ISSN : 0302-9743
  • eISSN : 1611-3349
  • ISBN : 9783030005351
  • DBLP ID : conf/miccai/HiasaOTMTCPSS18
  • arXiv ID : arXiv:1803.06629
  • SCOPUS ID : 85053912661
  • Web of Science ID : WOS:000477752900004

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