肝脏血管分类软件：虚拟手术的可行性研究。
Software for hepatic vessel classification: feasibility study for virtual surgery.
机构信息
Anesthesiological and Surgical Science Department, University Hospital of Verona, Piazzale A. Stefani 1, Verona, Italy.
出版信息
Int J Comput Assist Radiol Surg. 2010 Jan;5(1):39-48. doi: 10.1007/s11548-009-0380-4. Epub 2009 Jun 30.
PURPOSE
The detection and classification of hepatic vessels in diagnostic images are essential for hepatic pre-surgery planning. Our team has developed a tool for classification, analysis, and 3D reconstruction of the hepatic and portal systems.
METHODS
Our software first extracts a graphic representation of a set of connected voxels, representing both systems. It then calculates two binary volumes representing the main part of the two venous systems. Finally, it combines these results to obtain the correct vessel classification.
RESULTS
Segmentation steps are semi-automatic and require about 40 min to complete. Schematization and classification steps are automatic and require about 17 min for results.
CONCLUSION
The software provides a correct and detailed reconstruction even where pathologies have caused morphological and geometrical variations in the vessels. The time required for the entire procedure is compatible with clinical requirements, providing an efficient tool for diagnosis and surgical planning.
目的
在诊断图像中检测和分类肝血管对于肝术前规划至关重要。我们的团队开发了一种用于肝和门静脉系统分类、分析和 3D 重建的工具。
方法
我们的软件首先提取一组连通体素的图形表示，代表两个系统。然后，它计算两个二进制体积，分别表示两个静脉系统的主要部分。最后，它结合这些结果来获得正确的血管分类。
结果
分割步骤是半自动的，大约需要 40 分钟才能完成。图表示和分类步骤是自动的，大约需要 17 分钟才能得到结果。
结论
该软件即使在病变导致血管形态和几何形状发生变化的情况下，也能提供正确和详细的重建。整个过程所需的时间与临床要求兼容，为诊断和手术规划提供了有效的工具。
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