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

doi:10.1117/12.2522052

27 March 2019 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

Author Affiliations +

Proceedings Volume 11050, International Forum on Medical Imaging in Asia 2019; 110501F (2019) https://doi.org/10.1117/12.2522052
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

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.

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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, and Akinobu Shimizu "Registration between histopathological images with different stains and an MRI Image of pancreatic cancer tumor", Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110501F (27 March 2019); https://doi.org/10.1117/12.2522052

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KEYWORDS

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Magnetic resonance imaging

Image registration

3D image processing

3D modeling

3D image reconstruction

Pancreatic cancer

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