Alirr Omar Ibrahim, Rahni Ashrani Aizzuddin Abd
Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor, Malaysia.
J Digit Imaging. 2020 Apr;33(2):304-323. doi: 10.1007/s10278-019-00262-8.
Preoperative planning for liver surgical treatments is an essential planning tool that aids in reducing the risks of surgical resection. Based on the computed tomography (CT) images, the resection can be planned before the actual tumour resection surgery. The computer-aided system provides an overview of the spatial relationships of the liver organ and its internal structures, tumours, and vasculature. It also allows for an accurate calculation of the remaining liver volume after resection. The aim of this paper was to review the main stages of the computer-aided system that helps to evaluate the risk of resection during liver cancer surgical treatments. The computer-aided system assists with surgical planning by enabling physicians to get volumetric measurements and visualise the liver, tumours, and surrounding vasculature. In this paper, it is concluded that for accurate planning of tumour resections, the liver organ and its internal structures should be segmented to understand the clear spatial relationship between them, thus allowing for a safer resection. This paper presents the main proposed segmentation techniques for each stage in the computer-aided system, namely the liver organ, tumours, and vessels. From the reviewed methods, it has been found that instead of relying on a single specific technique, a combination of a group of techniques would give more accurate segmentation results. The extracted masks from the segmentation algorithms are fused together to give the surgeons the 3D visualisation tool to study the spatial relationships of the liver and to calculate the required resection planning parameters.
肝脏手术治疗的术前规划是一种重要的规划工具,有助于降低手术切除的风险。基于计算机断层扫描(CT)图像,可以在实际肿瘤切除手术前规划切除方案。计算机辅助系统提供了肝脏器官及其内部结构、肿瘤和脉管系统空间关系的概述。它还能准确计算切除后剩余肝脏体积。本文旨在回顾计算机辅助系统的主要阶段,该系统有助于评估肝癌手术治疗期间的切除风险。计算机辅助系统通过使医生能够进行体积测量并可视化肝脏、肿瘤和周围脉管系统来协助手术规划。本文得出结论,为了准确规划肿瘤切除,应分割肝脏器官及其内部结构,以了解它们之间清晰的空间关系,从而实现更安全的切除。本文介绍了计算机辅助系统中每个阶段主要的分割技术,即肝脏器官、肿瘤和血管的分割技术。从所回顾的方法中发现,不依赖单一特定技术,而是一组技术的组合将给出更准确的分割结果。从分割算法中提取的掩码融合在一起,为外科医生提供3D可视化工具,以研究肝脏的空间关系并计算所需的切除规划参数。