Registration between histopathological images with different stains and an MRI Image of pancreatic cancer tumor

Hidekata Hontani, Yushi Goto, Yuki Tamura, Tomoshige Shimomura, Naoki Kawamura, Hirokazu Kobayashi, Mauricio Kugler, Tatsuya Yokota, Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume, Takahiro Katagiri, Tomonari Sei, Akinobu Shimizu

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

In this paper, we report on the construction of a pancreatic tumor model that represents the relationship between the tumor growth and the micro anatomical structures. The former, the tumor growth, is described by referring to the temporal series of MRI images of the whole body and the latter, the micro structures of the tumor, is described by a spatial series of microscopic images of thin-sections sliced from the extracted pancreatic tumor. For the model construction, we developed new non-rigid registration methods for (1) accurate description of tumor growth, (2) reconstruction of 3D microscopic images, and (3) registration between an MRI image and corresponding microscopic images. In addition, we constructed a neural network that can generate a set of fake microscopic image patches of a pancreatic tumor that corresponds to each voxel inside the tumor region in an MRI image. The outlines of the methods are introduced and some examples of experimental results are demonstrated.

本文言語英語
ホスト出版物のタイトルInternational Forum on Medical Imaging in Asia 2019
編集者Hiroshi Fujita, Jong Hyo Kim, Feng Lin
出版社SPIE
ISBN(電子版)9781510627758
DOI
出版ステータス出版済み - 2019
イベントInternational Forum on Medical Imaging in Asia 2019 - Singapore, シンガポール
継続期間: 1月 7 20191月 9 2019

出版物シリーズ

名前Proceedings of SPIE - The International Society for Optical Engineering
11050
ISSN(印刷版)0277-786X
ISSN(電子版)1996-756X

会議

会議International Forum on Medical Imaging in Asia 2019
国/地域シンガポール
CitySingapore
Period1/7/191/9/19

!!!All Science Journal Classification (ASJC) codes

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学

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