DocumentCode :
683834
Title :
Quantifying stage progress of cirrhotic livers based on statistic shape models
Author :
Yen-Wei Chen ; Chunhua Dong ; Xian-Hua Han ; Tateyama, Tomoko ; Kanasaki, Shuzo ; Furukawa, A.
Author_Institution :
Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
822
Lastpage :
825
Abstract :
It is widely known that morphological changes of the liver and the spleen occur during the clinical course of chronic liver diseases. In this paper, we show a preliminary study on quantifying stage progress of cirrhotic liver based on statistical shape models (SSMs). We constructed not only the liver SSM, but also the spleen SSM and a joint SSM of the liver and the spleen for a morphologic analysis of the cirrhotic liver in CT images. The effective modes are selected based on both its accumulation contribution rate and its correlation with doctor´s opinions (stage labels). Both normal and abnormal livers including temporal sequence data are projected to the subspace with the selected modes. Most of the normal data are located in the center, while abnormal data are scattered around the normal data. If the disease progresses, data will move outside. The distance to the center can be used to quantify the stage progress of the cirrhotic liver.
Keywords :
computerised tomography; diseases; image sequences; liver; medical image processing; statistical analysis; CT images; chronic liver diseases; cirrhotic liver; computed tomography; morphological changes; spleen; stage progress quantification; statistic shape model; temporal sequence data; Computational modeling; Computed tomography; Educational institutions; Joints; Liver diseases; Shape; CT Volume; Cirrhotic liver; Mode selection; Morphologic change; Principal component analysis; Stage progress; Statistical shape model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2013 6th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2760-9
Type :
conf
DOI :
10.1109/BMEI.2013.6747054
Filename :
6747054
Link To Document :
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