Pilot study of applying shape analysis to liver cirrhosis diagnosis

Jie Luo, Yen Wei Chen, Xian Hua Han, Tomoko Tateyama, Akira Furukawa, Shuzo Kanasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
PublisherIEEE Computer Society
Pages3537-3541
Number of pages5
ISBN (Print)9781479923410
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
Duration: 15-09-201318-09-2013

Publication series

Name2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Conference

Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
Country/TerritoryAustralia
CityMelbourne, VIC
Period15-09-1318-09-13

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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