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

Visual Computing for Industry, Biomedicine, and Art

Xiaolin Zhang¹  Jincai Chang¹  Wei Zhu¹  Qiuling Pan¹  Jianzhong Cui² 

[1] College of Sciences, North China University of Science and Technology;Department of Neurosurgery, Tangshan Gongren Hospital;

关键词: Multitube drainage tube;    Bifurcation localization algorithm;    3D medical image;    Path planning;    Intracranial hematoma;   

DOI  :  10.1186/s42492-019-0039-0

来源: DOAJ

【 摘 要 】

Abstract Based 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.

【 授权许可】

Unknown