Semi-Automatic Segmentation Methods for 3-D Visualization and Analysis of the Liver

被引:2
作者
Selver, M. Alper [1 ]
Fischer, Felix [2 ]
Gezer, Sinem [3 ]
Hillen, Walter [4 ]
Dicle, Oguz [3 ]
机构
[1] Dokuz Eylul Univ, Dept Elect & Elect Engn, Izmir, Turkey
[2] Nautavis GmbH, Aachen, Germany
[3] Dokuz Eylul Univ, Sch Med, Dept Radiol, Izmir, Turkey
[4] FH Aachen, Juelich Div, Med Informat Lab, Aachen, Germany
来源
E-HEALTH - FOR CONTINUITY OF CARE | 2014年 / 205卷
关键词
Liver segmentation; Computed Tomography; Fast Marching; Connected Threshold; Insight Toolkit;
D O I
10.3233/978-1-61499-432-9-1133
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Pre-evaluation of donors prior to surgery of living donated liver transplantation is one of the challenging applications that computer aided systems are needed. The precise measurement of liver volume requires effective segmentation procedures, while three dimensional rendering of the segmented data provides demonstrative information to radiologists and surgeons before surgery. The Insight Toolkit provides effective algorithms for segmentation, which are also optimized for high computational performance and processing time. Furthermore, An ITK pipeline can be combined with a VTK pipeline, so that the result of segmentation can be represented directly in 3-D using VTK. Therefore, there is an on-going trend for developing ITK/VTK based systems. This study presents quantitative and qualitative performance evaluation of two effective ITK algorithms on segmentation of liver from CTA data sets.
引用
收藏
页码:1133 / 1137
页数:5
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