title: Texture analysis of human liver.
abstract: OBJECTIVE
  To classify healthy and diseased livers by texture analysis (TA).
  
  
  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%.
  
  
  CONCLUSIONS
  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.
authors.affiliation: MR-Unit, ZRIR, Institute for Clinical and Experimental Medicine, Prague, Czech Republic. daji@medicon.cz
authors.forename: Daniel
authors.initials: D
authors.lastname: Jirák
authors.forename: Monika
authors.initials: M
authors.lastname: Dezortová
authors.forename: Pavel
authors.initials: P
authors.lastname: Taimr
authors.forename: Milan
authors.initials: M
authors.lastname: Hájek
mesh_terms: D016022:Case-Control Studies; D003627:Data Interpretation, Statistical; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008103:Liver Cirrhosis / Q000145:classification / Q000473:pathology*; D008279:Magnetic Resonance Imaging / Q000379:methods*