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摘要:
Preoperative assessment of the liver volume and function of the remnant liver is a mandatory prerequisite before performing major hepatectomy. 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 complete software platform consisting of three basic modules: liver volume segmentation, visualization, and virtual cutting, was developed and tested. Liver volume segmentation is based on a patient examination with non-contrast abdominal Computed Tomography (CT). The basis of the segmentation is a multiple seeded region growing algorithm adapted for use with CT images without contrast-enhancement. Virtual tumor resection is performed interactively by outlining the liver region on the CT images. The software application then processes the results to produce a three-dimensional (3D) image of the “resected” region. Finally, 3D rendering module provides possibility for easy and fast interpretation of the segmentation results. The visual outputs are accompanied with quantitative measures that further provide estimation of the residual liver function and based on them the surgeons could make a better decision. The developed system was tested and verified with twenty abdominal CT patient sets consisting of different numbers of tomographic images. Volumes, obtained by manual tracing of two surgeon experts, showed a mean relative difference of 4.5%. The application was used in a study that demonstrates the need and the added value of such a tool in practice and in education.
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篇名 Image Processing Tool Promoting Decision-Making in Liver Surgery of Patients with Chronic Kidney Disease
来源期刊 软件工程与应用(英文) 学科 医学
关键词 Non-Contrast Enhanced COMPUTED Tomography Images Evaluation of the Residual Function of the LIVER LIVER Segmentation Seeded Regional Growing Algorithm Virtual Tumor Resection DECISION-MAKING EDUCATIONAL TOOL
年,卷(期) 2014,(2) 所属期刊栏目
研究方向 页码范围 118-127
页数 10页 分类号 R73
字数 语种
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节点文献
Non-Contrast
Enhanced
COMPUTED
Tomography
Images
Evaluation
of
the
Residual
Function
of
the
LIVER
LIVER
Segmentation
Seeded
Regional
Growing
Algorithm
Virtual
Tumor
Resection
DECISION-MAKING
EDUCATIONAL
TOOL
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
软件工程与应用(英文)
月刊
1945-3116
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
885
总下载数(次)
0
总被引数(次)
0
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