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Proceedings Paper • new

Construction of multimodal 3D model of pancreatic cancer tumor
Author(s): Yushi Goto; Mauricio Kugler; Tatsuya Yokota; Chika Iwamoto; Kenoki Ohuchida; Makoto Hashizume; Hidekata Hontani
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Paper Abstract

Histopathological imaging and Magnetic Resonance (MR) are two equally important yet very distinct modalities of medical imaging. The high resolution of the first and the non-invasiveness of the later provide complementary information for medical diagnosis and research. Due to their largely different resolutions, the registration between 3D images of these two modalities is challenging. The objective of this paper is to create a multimodal 3D model of pancreatic cancer tumor by performing the registration of a reconstructed 3D pathological image and an MR image from a KPC mouse. The tumor portions were manually segmented and the 3D pathological image was reconstructed using landmark-based non-linear registration. The process starts by registering the outline of the images using the LDDMM non-linear registration method to match the binary labels of the tumor regions. Next, a non-linear B-spline deformation method based on mutual information maximization is used to register the internal structures of the images. Experimental results show that the overall shape of the tumor and its internal necrosis portion could be correctly registered, although the quality of the manual segmentations affects the accuracy of the registration.

Paper Details

Date Published: 27 March 2019
PDF: 6 pages
Proc. SPIE 11050, International Forum on Medical Imaging in Asia 2019, 110501H (27 March 2019); doi: 10.1117/12.2521394
Show Author Affiliations
Yushi Goto, 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)
Hidekata Hontani, Nagoya Institute of 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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