Non-rigid registration of serial section images by blending transforms for 3D reconstruction
| Autor: | Haruyuki Makishima, Takehiro Kajihara, Takahito Aoto, Shigehito Yamada, Hiroyuki Kubo, Takuya Funatomi, Yasuhiro Mukaigawa |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Scale (ratio)
business.industry Computer science 3D reconstruction Non-rigid deformation Physics::Medical Physics 02 engineering and technology Serial section Deformation (meteorology) 01 natural sciences Artificial Intelligence 0103 physical sciences Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Computer Vision and Pattern Recognition Artificial intelligence 010306 general physics business Software Image registration Transformation blending |
| Zdroj: | Pattern Recognition. 96 |
| ISSN: | 0031-3203 |
| Popis: | 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. 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. |
| Databáze: | OpenAIRE |
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