Book chapter
Graph-Based Segmentation of Lymph Nodes in CT Data
Advances in Visual Computing, pp.312-321
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2010
DOI: 10.1007/978-3-642-17274-8_31
Abstract
The quantitative assessment of lymph node size plays an important role in treatment of diseases like cancer. In current clinical practice, lymph nodes are analyzed manually based on very rough measures of long and/or short axis length, which is error prone. In this paper we present a graph-based lymph node segmentation method to enable the computer-aided three-dimensional (3D) assessment of lymph node size. Our method has been validated on 22 cases of enlarged lymph nodes imaged with X-ray computed tomography (CT). For the signed and unsigned surface positioning error, the mean and standard deviation was 0.09 ±0.17 mm and 0.47 ±0.08 mm, respectively. On average, 5.3 seconds were required by our algorithm for the segmentation of a lymph node.
Details
- Title: Subtitle
- Graph-Based Segmentation of Lymph Nodes in CT Data
- Creators
- Yao Wang - University of IowaReinhard Beichel - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Advances in Visual Computing, pp.312-321
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-642-17274-8_31
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 2010
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197534302771
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