Automatic liver parenchyma segmentation from abdominal CT images using support vector machines

Suhuai Luo, Qingmao Hu, Xiangjian He, Jiaming Li, Jesse S. Jin, Mira Park

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)

Abstract

This paper presents an automatic liver parenchyma segmentation algorithm that can segment liver in abdominal CT images. There are three major steps in the proposed approach. Firstly, a texture analysis is applied to input abdominal CT images to extract pixel level features. In this step, wavelet coefficients are used as texture descriptors. Secondly, support vector machines (SVMs) are implemented to classify the data into pixel-wised liver area or non-liver area. Finally, integrated morphological operations are designed to remove noise and finally delineate the liver. Our unique contributions to liver segmentation are twofold: one is that it has been proved through experiments that wavelet features present good classification result when SVMs are used; the other is that the combination of morphological operations with the pixel-wised SVM classifier can delineate volumetric liver accurately. The algorithm can be used in an advanced computer-aided liver disease diagnosis and liver surgical planning system. Examples of applying the proposed algorithm on real CT data are presented with performance validation based on the comparison between the automatically segmented results and manually segmented ones.

Original languageEnglish
Title of host publication2009 ICME International Conference on Complex Medical Engineering, CME 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 ICME International Conference on Complex Medical Engineering, CME 2009 - Tempe, AZ, United States
Duration: 9 Apr 200911 Apr 2009

Publication series

Name2009 ICME International Conference on Complex Medical Engineering, CME 2009

Conference

Conference2009 ICME International Conference on Complex Medical Engineering, CME 2009
Country/TerritoryUnited States
CityTempe, AZ
Period9/04/0911/04/09

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

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