TY - GEN
T1 - Accurate 3D Reconstruction of a Whole Pancreatic Cancer Tumor from Pathology Images with Different Stains
AU - Kugler, Mauricio
AU - Goto, Yushi
AU - Kawamura, Naoki
AU - Kobayashi, Hirokazu
AU - Yokota, Tatsuya
AU - Iwamoto, Chika
AU - Ohuchida, Kenoki
AU - Hashizume, Makoto
AU - Hontani, Hidekata
N1 - Funding Information:
This research was supported by JSPS KAKENHI Grant Number
Publisher Copyright:
© 2018, Springer Nature Switzerland AG.
PY - 2018
Y1 - 2018
N2 - When applied to 3D image reconstruction, conventional landmark-based registration methods tend to generate unnatural vertical structures due to inconsistencies between the employed model and the real tissue. This paper demonstrates a fully non-rigid image registration method for 3D image reconstruction which considers the spatial continuity and smoothness of each constituent part of the microstructures in the tissue. Corresponding landmarks are detected along the images, defining a set of trajectories, which are smoothed out in order to define a diffeomorphic mapping. The resulting reconstructed 3D image preserves the original tissue architecture, allowing the observation of fine details and structures.
AB - When applied to 3D image reconstruction, conventional landmark-based registration methods tend to generate unnatural vertical structures due to inconsistencies between the employed model and the real tissue. This paper demonstrates a fully non-rigid image registration method for 3D image reconstruction which considers the spatial continuity and smoothness of each constituent part of the microstructures in the tissue. Corresponding landmarks are detected along the images, defining a set of trajectories, which are smoothed out in order to define a diffeomorphic mapping. The resulting reconstructed 3D image preserves the original tissue architecture, allowing the observation of fine details and structures.
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U2 - 10.1007/978-3-030-00949-6_5
DO - 10.1007/978-3-030-00949-6_5
M3 - Conference contribution
AN - SCOPUS:85053928259
SN - 9783030009489
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 35
EP - 43
BT - Computational Pathology and Ophthalmic Medical Image Analysis - First International Workshop, COMPAY 2018, and 5th International Workshop, OMIA 2018, Held in Conjunction with MICCAI 2018, Proceedings
A2 - Taylor, Zeike
A2 - Bogunovic, Hrvoje
A2 - Snead, David
A2 - Garvin, Mona K.
A2 - Chen, Xin Jan
A2 - Ciompi, Francesco
A2 - Xu, Yanwu
A2 - Maier-Hein, Lena
A2 - Veta, Mitko
A2 - Trucco, Emanuele
A2 - Stoyanov, Danail
A2 - Rajpoot, Nasir
A2 - van der Laak, Jeroen
A2 - Martel, Anne
A2 - McKenna, Stephen
PB - Springer Verlag
T2 - 1st International Workshop on Computational Pathology, COMPAY 2018 and 5th International Workshop on Ophthalmic Medical Image Analysis, OMIA 2018 Held in Conjunction with MICCAI 2018
Y2 - 16 September 2018 through 20 September 2018
ER -