Magnetic Resonance Imaging

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Texture Analysis leaflet Stránka 1
Texture Analysis for Magnetic Resonance Imaging
Kód: 813

The measurement of texture in image data has been of interest since the 1970s, primarily as a means of discriminating regions of an image for automatic segmentation. The meaning...

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Two recenzents exresses their meaning about the book

A new ‘stopgap’ work appeared! The book is a multi-author joint venture resulting from a European project termed COST B11: “Quantitation of Magnetic Resonance Image Texture”. Analysis of magnetic resonance (MR) images (textures) is of crucial importance. The entire book is devoted to different aspects of texture analysis i.e. analysis of spatial arrangements of visual patterns in an image. Various chapters cover different aspects of MR analysis from theoretical foundations to chemometric data evaluation. The usefulness of the book extends to the clinical diagnosis, standardization tasks and covers a lot of interesting areas such as pattern recognition in food chemistry. Therefore, the book can be recommended to medical and analytical chemists, physicists, and statisticians just to name a few in the academic world and industry alike.

 Dr. Karoly Héberger

Chemical Research Center, Hungarian Academy of Sciences

Budapest, Hungary


… At the present time, in addition to the subjective evaluation of morphological changes observable on MR images, there is an effort to use objective mathematical-statistical methods to find even the tiniest changes commonly invisible to human eye. The presented book is the first comprehensive textbook ever dealing with texture analysis and together with the software MaZda enables better understanding of the changes in 2D and 3D digital images. The methodology can be used not only in biomedical applications but also in other fields of interest (industrial, agricultural, etc.). The editors successfully assembled group of specialists from various areas and the result is a unique one-volume treatise for all interested scientists and clinicians. Highly recommended!


                                                                                              Pavel Taimr, MD

                                                                                    Erasmus MC, Rotterdam, NL