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2008 International Conference on BioMedical Engineering and Informatics
A Novel Method for Extraction of Spleen by Using Thin-plate Splines (TPS) Deformation and Edge Detection from Abdominal CT Images
May 27-May 30
ISBN: 978-0-7695-3118-2
ASCII Text
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Xuejun Zhang, Hiroshi Fujita, Tuanfa Qin, Jinchuang Zhao, Yurong Qin, Chao Gao, Liling Long, Zuojun Zhang, "A Novel Method for Extraction of Spleen by Using Thin-plate Splines (TPS) Deformation and Edge Detection from Abdominal CT Images," BioMedical Engineering and Informatics, International Conference on, vol. 1, pp. 830-834, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.206,
author = {Xuejun Zhang and Hiroshi Fujita and Tuanfa Qin and Jinchuang Zhao and Yurong Qin and Chao Gao and Liling Long and Zuojun Zhang},
title = {A Novel Method for Extraction of Spleen by Using Thin-plate Splines (TPS) Deformation and Edge Detection from Abdominal CT Images},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {1},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {830-834},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.206},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - A Novel Method for Extraction of Spleen by Using Thin-plate Splines (TPS) Deformation and Edge Detection from Abdominal CT Images
SN - 978-0-7695-3118-2
SP830
EP834
A1 - Xuejun Zhang,
A1 - Hiroshi Fujita,
A1 - Tuanfa Qin,
A1 - Jinchuang Zhao,
A1 - Yurong Qin,
A1 - Chao Gao,
A1 - Liling Long,
A1 - Zuojun Zhang,
PY - 2008
KW - Thin-plate splines (TPS)
KW - edge detection
KW - abdominal CT
KW - spleen
VL - 1
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
The spleen is always hypertrophied in the patient with cirrhotic liver, which is regarded as one of complementary features for analysis of cirrhosis. Furthermore, segmentation of an abnormal spleen region based on CT or MR images is a crucial step in surgical planning. However, precisely carrying out this step remains a challenge due to either connectivities of the spleen to other organs or the shape, internal texture, and homogeneity of spleen that maybe extensively affected in case of liver diseases. In this paper, we propose a non-density based method for extracting the abnormal spleen region by edge detection processing. The accuracy of segmentation of spleen in 20 cases is the coincidence ratio 0.96 with the average error rate of 4.3%, and the result showed that our fully automatic method for the segmentation is effective and robust despite the presence of abnormal tissues within the spleen.
Index Terms:
Thin-plate splines (TPS), edge detection, abdominal CT, spleen
Citation:
Xuejun Zhang, Hiroshi Fujita, Tuanfa Qin, Jinchuang Zhao, Yurong Qin, Chao Gao, Liling Long, Zuojun Zhang, "A Novel Method for Extraction of Spleen by Using Thin-plate Splines (TPS) Deformation and Edge Detection from Abdominal CT Images," bmei, vol. 1, pp.830-834, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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