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Proceedings Paper

Registration between histopathological images with different stains and an MRI Image of pancreatic cancer tumor
Author(s): 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
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Paper Abstract

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.

Paper Details

Date Published: 27 March 2019
PDF: 6 pages
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110501F (27 March 2019); doi: 10.1117/12.2522052
Show Author Affiliations
Hidekata Hontani, Nagoya Institute of Technology (Japan)
Yushi Goto, Nagoya Institute of Technology (Japan)
Yuki Tamura, Nagoya Institute of Technology (Japan)
Tomoshige Shimomura, Nagoya Institute of Technology (Japan)
Naoki Kawamura, Nagoya Institute of Technology (Japan)
Hirokazu Kobayashi, Nagoya Institute of Technology (Japan)
Mauricio Kugler, Nagoya Institute of Technology (Japan)
Tatsuya Yokota, Nagoya Institute of Technology (Japan)
Chika Iwamoto, Kyushu Univ. (Japan)
Kenoki Ohuchida, Kyushu Univ. (Japan)
Makoto Hashizume, Kyushu Univ. (Japan)
Takahiro Katagiri, Nagoya Univ. (Japan)
Tomonari Sei, The Univ. of Tokyo (Japan)
Akinobu Shimizu, Tokyo Univ. of Agriculture and Technology (Japan)


Published in SPIE Proceedings Vol. 11050:
International Forum on Medical Imaging in Asia 2019
Feng Lin; Hiroshi Fujita; Jong Hyo Kim, Editor(s)

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