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JOIG 2022 Vol.10(3): 95-101
doi: 10.18178/joig.10.3.95-101

Multi-organ Statistical Shape Model Building Using a Non-rigid ICP Based Surface Registration

Jiaqi Wu 1, Guangxu Li 2, and Tohru Kamiya 3
1. Graduated School of Engineering, Kyushu Institute of Technology, Kitakyushu, Japan
2. School of Electronics and Information Engineering, Tiangong University, Tianjin, China
3. Kyushu Institute of Technology, Kitakyushu, Japan

Abstract—Landmark correspondence is one of the key steps in Statistical Shape Model (SSM) building. In this paper, a non-rigid iterative closest point surfaces registration method is introduced to seek proper corresponded landmarks in the multi-organ surface meshes. Surfaces of four abdominal organs are used in the experiment to build SSM from landmarks corresponded by five different registration strategies. The proposed method of individually non-rigid registration of single organs shows the least errors measured by Hausdorff distance and the best model quality of generalization ability, specificity, and compactness.

Index Terms—multi-organ, statistical shape model, surface registration, landmark correspondence

Cite: Jiaqi Wu, Guangxu Li, and Tohru Kamiya, "Multi-organ Statistical Shape Model Building Using a Non-rigid ICP Based Surface Registration," Journal of Image and Graphics, Vol. 10, No. 3, pp. 95-101, September 2022.

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