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Title: Non-rigid registration of serial section images by blending transforms for 3D reconstruction
Authors: Kajihara, Takehiro
Funatomi, Takuya
Makishima, Haruyuki
Aoto, Takahito
Kubo, Hiroyuki
Yamada, Shigehito
Mukaigawa, Yasuhiro
Author's alias: 梶原, 武紘
舩冨, 卓哉
巻島, 美幸
青砥, 隆仁
久保, 尋之
山田, 重人
向川, 康博
Keywords: Image registration
Non-rigid deformation
Transformation blending
Issue Date: Dec-2019
Publisher: Elsevier BV
Journal title: Pattern Recognition
Volume: 96
Thesis number: 106956
Abstract: In this research, we propose a novel registration method for three-dimensional (3D) reconstruction from serial section images. 3D reconstructed data from serial section images provides structural information with high resolution. However, there are three problems in 3D reconstruction: non-rigid deformation, tissue discontinuity, and accumulation of scale change. To solve the non-rigid deformation, we propose a novel non-rigid registration method using blending rigid transforms. To avoid the tissue discontinuity, we propose a target image selection method using the criterion based on the blending of transforms. To solve the scale change of tissue, we propose a scale adjustment method using the tissue area before and after registration. The experimental results demonstrate that our method can represent non-rigid deformation with a small number of control points, and is robust to a variation in staining. The results also demonstrate that our target selection method avoids tissue discontinuity and our scale adjustment reduces scale change.
Description: 複数のスライスされた標本から元の立体形状を復元する画像処理技術を開発 --ヒトの成長過程の解明にも寄与--. 京都大学プレスリリース. 2019-08-02.
Rights: © 2019 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license. (
DOI(Published Version): 10.1016/j.patcog.2019.07.001
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