Research on a bifurcation location algorithm of a drainage tube based on 3D medical images-Reference-Cited by-同舟云学术

Research on a bifurcation location algorithm of a drainage tube based on 3D medical images

Published:2020-01-14 Issue:1 Volume:3 Page:
ISSN:2524-4442
Container-title:Visual Computing for Industry, Biomedicine, and Art
language:en
Short-container-title:Vis. Comput. Ind. Biomed. Art

Author:

Pan Qiuling,Zhu Wei,Zhang Xiaolin,Chang Jincai^ORCID,Cui Jianzhong

Abstract

AbstractBased on patient computerized tomography data, we segmented a region containing an intracranial hematoma using the threshold method and reconstructed the 3D hematoma model. To improve the efficiency and accuracy of identifying puncture points, a point-cloud search arithmetic method for modified adaptive weighted particle swarm optimization is proposed and used for optimal external axis extraction. According to the characteristics of the multitube drainage tube and the clinical needs of puncture for intracranial hematoma removal, the proposed algorithm can provide an optimal route for a drainage tube for the hematoma, the precise position of the puncture point, and preoperative planning information, which have considerable instructional significance for clinicians.

Funder

National Natural Science Foundation of China

Technology Foundation for Selected Overseas Scholar, Ministry of Human Resources and Social Security

Tangshan Science and Technology Bureau

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Visual Arts and Performing Arts,Medicine (miscellaneous),Computer Science (miscellaneous),Software

Link

http://link.springer.com/content/pdf/10.1186/s42492-019-0039-0.pdf

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