Texture analysis of human liver
Language English Country United States Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
11793459
DOI
10.1002/jmri.10042
PII: 10.1002/jmri.10042
Knihovny.cz E-resources
- MeSH
- Data Interpretation, Statistical MeSH
- Liver Cirrhosis classification pathology MeSH
- Humans MeSH
- Magnetic Resonance Imaging methods MeSH
- Image Processing, Computer-Assisted MeSH
- Case-Control Studies MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
PURPOSE: To classify healthy and diseased livers by texture analysis (TA). MATERIALS AND METHODS: We studied 43 patients divided into four groups according to their clinical stage and 10 controls on a 1.5-T magnetic resonance (MR) imager, using a T2-weighted breath-hold sequence. For the TA, features of the first and second order were used, and several classification procedures were applied for the classification of patients and controls. The choice of features was performed manually and by use of the Fischer coefficient, average correlation coefficients between features and multidimensional discrimination measure. RESULTS: All the statistical methods employed were able to differentiate between controls and patients in each group. The classification error varied around 8%. CONCLUSION: We have shown that texture analysis can be successfully used for separating cirrhotic patients and healthy volunteers. Different sets of TA features can be used for a similar classification of patients.
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