Computer Aided Preoperative Evaluation of the Residual Liver Volume Using Computed Tomography Images |
| |
Authors: | Kristina Bliznakova Nikola Kolev Ivan Buliev Anton Tonev Elitsa Encheva Zhivko Bliznakov Krasimir Ivanov |
| |
Institution: | 1. Department of Electronics and Microelectronics, Technical University of Varna, 9010, 1 Studentska 1, Varna, Bulgaria 2. Department of Surgery, Medical University of Varna, 9002, 55 Marin Drinov Str, Varna, Bulgaria 3. Department of Radiology, Medical University of Varna, 9002, 55 Marin Drinov Str, Varna, Bulgaria 4. Department of Medical Physics, School of Medicine, University of Patras, 26500, Rio, Patras, Greece
|
| |
Abstract: | Major hepatectomy causes a risk of postoperative liver dysfunction, failure, and infections like surgical site infection. Preoperative assessment of the liver volume and function of the remnant liver is a mandatory prerequisite before performing such surgery. The aim of this work is to develop and test a software application for evaluation of the residual function of the liver prior to the intervention of the surgeons. For this purpose, a technique for evaluation of liver volume from computed tomography (CT) images has been developed. Furthermore, the methodology algorithms were implemented and incorporated within a software tool with three basic functionalities: volume determination based on segmentation of liver from CT images, virtual tumour resection and estimation of the residual liver function and 3D visualisation. Forty-one sets of abdominal CT images consisting of different number of tomographic slice images were used to test and evaluate the proposed approach. Volumes that were obtained after manual tracing by two surgeon experts showed a relative difference of 3.5 %. The suggested methodology was encapsulated within an application with user-friendly interface that allows surgeons interactively to perform virtual tumour resection, to evaluate the relative residual liver and render the final result. Thereby, it is a tool in the surgeons’ hands that significantly facilitates their duties, saves time, and allows them to objectively evaluate the situation and take the right decisions. At the same time, the tool appears to be appropriate educational instrument for virtual training of young surgeon specialists. |
| |
Keywords: | Evaluation of the residual function of the liver Liver segmentation Seeded regional growing algorithm Virtual tumour resection Decision making Educational tool |
本文献已被 SpringerLink 等数据库收录! |
|