NDLI: Pilot study of applying shape analysis to liver cirrhosis diagnosis

Content Provider	IEEE Xplore Digital Library
Author	Jie Luo Yen-Wei Chen Xian-Hua Han Tateyama, T. Furukawa, A. Kanasaki, S.
Copyright Year	2013
Description	Author affiliation: Dept. of Radiol. Sci., Tokyo Metropolitan Univ., Tokyo, Japan (Furukawa, A.) \|\| Dept. of Radiol., Shiga Univ. of Med. Sci., Otsu, Japan (Kanasaki, S.) \|\| Grad. Sch. of Frontier Sci., Univ. of Tokyo, Tokyo, Japan (Jie Luo; Yen-Wei Chen; Xian-Hua Han; Tateyama, T.)
Abstract	This paper explores the potential of applying shape analysis to classify normal/cirrhotic liver and in addition estimate the severity of abnormal cases. Conventional Computer-Aided Diagnosis (CAD) systems are developed for automatically providing a binary output as a second opinion to assist radiologists to draw conclusions about the condition of the pathology (normal or abnormal). After the disease is diagnosed, grasping the proceeding stage of the abnormal degree is essential for adopting the appropriate strength of treatment. However, none of existing CAD system is well established for such a challenging task. Liver cirrhosis has an important feature: morphological changes of the liver and the spleen occur during the clinical course of liver cirrhosis. In this study we constructed liver, spleen and their joint Statistical Shape Models (SSMs) to quantitatively assess the global shape variation and selected several modes from the SSMs. Then we learnt a mapping function between coefficients of selected modes and the ground truth staging label by Support Vector Regression (SVR). Using this mapping function, the proceeding stage of new input data can be estimated. Experimental results have validated the potential of our method on assisting the cirrhosis diagnosis.
Starting Page	3537
Ending Page	3541
File Size	382391
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738730
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support Vector Regression Computer-Aided Diagnosis Liver Cirrhosis Multi-organ-based analysis Statistical Shape Model
Content Type	Text
Resource Type	Article

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