Complete facial point cloud obtainment of patients with port wine stains based on point cloud fusion technology

Zihao Guo; Ya Zhou; Tianlong Guo; Yingyi Gui; Xiaoming Hu

doi:10.1117/12.2540413

12 March 2020 Complete facial point cloud obtainment of patients with port wine stains based on point cloud fusion technology

Zihao Guo, Ya Zhou, Tianlong Guo, Yingyi Gui, Xiaoming Hu

Author Affiliations +

Proceedings Volume 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments; 1143403 (2020) https://doi.org/10.1117/12.2540413
Event: 2019 International Conference on Optical Instruments and Technology, 2019, Beijing, China

Abstract

Objective and accurate lesion assessment is one of the key factors for the optimal photodynamic therapy (PDT) of Port Wine Stains (PWS). The evaluation method based on 3D point cloud can effectively solve the problems. Comparing to the traditional point cloud registration algorithms such as ICP which tend to global registration, the feature description method is more suitable for facial point clouds fusion since each clouds is obtained from different angle and just overlap in certain area. In this paper, the method of fusion of multiple point clouds is applied, in which point cloud fusion is achieved by characterizing randomly selected sampling points. The point cloud fusion result is obtained by matching the public area between the two point clouds. Several fusion experiments are designed and conducted using the facial point cloud acquired by Artec Eva three-dimensional scanner. The experimental results show that it can accomplish the point cloud fusion of patient facial point cloud (including all the information on the skin lesions of PWS), which could be an efficient support for effective 3D lesion assessment.

Citation Download Citation

Zihao Guo, Ya Zhou, Tianlong Guo, Yingyi Gui, and Xiaoming Hu "Complete facial point cloud obtainment of patients with port wine stains based on point cloud fusion technology", Proc. SPIE 11434, 2019 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments, 1143403 (12 March 2020); https://doi.org/10.1117/12.2540413

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KEYWORDS

Clouds

Skin

3D scanning

Photodynamic therapy

Photography

Error analysis

Imaging technologies

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