Texture analysis of medical images.
The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an ongoing field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological and healthy tissue in different organs. Texture analysis uses radiological images obtained in routine diagnostic practice, but involves an ensemble of mathematical computations performed with the data contained within the images. In this article we clarify the principles of texture analysis and give examples of its applications, reviewing studies of the technique.
Castellano
G
G
Neuroimage Laboratory, Faculty of Medical Sciences, State University of Campinas, Brazil. gabriela@dca.fee.unicamp.br
Bonilha
L
L
Li
L M
LM
Cendes
F
F
D000465:Algorithms; D001921:Brain / Q000000981:diagnostic imaging; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D003952:Diagnostic Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods; D010363:Pattern Recognition, Automated / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods; D014463:Ultrasonography / Q000379:methods