Non-rigid registration of serial section images by blending transforms for 3D reconstruction

• Funatomi, Takuya

• Kubo, Hiroyuki

• Mukaigawa, Yasuhiro

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.

Journal

• Pattern Recognition

  Pattern Recognition 96 106956-, 2019-12-01

  Elsevier

Keywords

• Image registration
• Non-rigid deformation;
• Transformation blending

Details

• CRID: 1050295834376537728
• NII Article ID: 120006711215
• NII Article ID: 120006709431
• ISSN: 00313203
• DOI: 10.1016/j.patcog.2019.07.001
• HANDLE: 10061/13352
• HANDLE: 2433/243245
• Web Site: https://naist.repo.nii.ac.jp/records/4171
• Web Site: https://api.elsevier.com/content/article/PII:S0031320319302535?httpAccept=text/xml
• Web Site: https://api.elsevier.com/content/article/PII:S0031320319302535?httpAccept=text/plain
• Text Lang: en
• Article Type: journal article
• Data Source:
  • IRDB
  • Crossref
  • CiNii Articles
  • KAKEN