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.

中文翻译：

---

基于3D医学图像的引流管分叉定位算法研究。

基于患者的计算机断层扫描数据，我们使用阈值方法分割了包含颅内血肿的区域，并重建了3D血肿模型。为了提高识别穿刺点的效率和准确性，提出了一种改进的自适应加权粒子群算法的点云搜索算法，并将其用于最优外轴提取。根据多管引流管的特点和颅内血肿清除的穿刺临床需求，提出的算法可以为血肿引流管提供最佳的穿刺路径，穿刺点的准确位置以及术前计划信息。对临床医生具有重要的指导意义。