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Texture analysis of human liver

✍ Scribed by Daniel Jirák; Monika Dezortová; Pavel Taimr; Milan Hájek

Publisher
John Wiley and Sons
Year
2002
Tongue
English
Weight
259 KB
Volume
15
Category
Article
ISSN
1053-1807

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✦ Synopsis

Abstract

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. J. Magn. Reson. Imaging 2002;15:68–74. © 2002 Wiley‐Liss, Inc.

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