View : 28 Download: 0
Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching
- Automatic deformable surface registration for medical applications by radial basis function-based robust point-matching
- Kim, Youngjun; Na, Yong Hum; Xing, Lei; Lee, Rena; Park, Sehyung
- Ewha Authors
- SCOPUS Author ID
- Issue Date
- Journal Title
- COMPUTERS IN BIOLOGY AND MEDICINE
- 0010-4825; 1879-0534
- vol. 77, pp. 173 - 181
- Mesh deformation; Deformable registration; Automatic correspondence; Radial basis function; Robust point matching
- PERGAMON-ELSEVIER SCIENCE LTD
- SCI; SCIE; SCOPUS
- Deformable surface mesh registration is a useful technique for various medical applications, such as intra-operative treatment guidance and intra- or inter-patient study. In this paper, we propose an automatic deformable mesh registration technique. The proposed method iteratively deforms a source mesh to a target mesh without manual feature extraction. Each iteration of the registration consists of two steps, automatic correspondence finding using robust point-matching (RPM) and local deformation using a radial basis function (RBF). The proposed RBF-based RPM algorithm solves the interlocking problems of correspondence and deformation using a deterministic annealing framework with fuzzy correspondence and RBF interpolation. Simulation tests showed promising results, with the average deviations decreasing by factors of 21.2 and 11.9, respectively. In the human model test, the average deviation decreased from 1.72 +/- 1.88 mm to 0.57 +/- 0.66 mm. We demonstrate the effectiveness of the proposed method by presenting some medical applications. (C) 2016 Elsevier Ltd. All rights reserved.
- Appears in Collections:
- 의과대학 > 의학과 > Journal papers
- Files in This Item:
There are no files associated with this item.
- RIS (EndNote)
- XLS (Excel)
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.