Hassan Kowther, Dort Joseph C, Sutherland Garnette R, Chan Sonny
Department of Computer Science, University of Calgary.
Department of Surgery, University of Calgary.
Stud Health Technol Inform. 2016;220:130-3.
Surgeons are increasingly relying on 3D medical image data for planning interventions. Virtual 3D models of intricate anatomy, such as that found within the temporal bone, have proven useful for surgical education, planning, and rehearsal, but such applications require segmentation of surgically relevant structures in the image data. Four publicly available software packages, ITK-SNAP, MITK, 3D Slicer, and Seg3D, were evaluated for their efficacy in segmenting temporal bone anatomy from CT and MR images to support patient-specific surgery simulation. No single application provided efficient means to segment every structure, but a combination of the tools evaluated enables creation of a complete virtual temporal bone model from raw image data with reasonably minimal effort.
外科医生越来越依赖3D医学图像数据来规划手术干预。复杂解剖结构的虚拟3D模型，如颞骨内的结构，已被证明在外科教育、规划和预演中很有用，但此类应用需要对图像数据中的手术相关结构进行分割。对四个公开可用的软件包ITK-SNAP、MITK、3D Slicer和Seg3D进行了评估，以确定它们从CT和MR图像中分割颞骨解剖结构以支持患者特异性手术模拟的功效。没有一个应用程序能提供有效分割每个结构的方法，但所评估工具的组合能够以合理的最小工作量从原始图像数据创建完整的虚拟颞骨模型。
