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Multispectral image analysis is a relatively promising field of research withapplications in several areas, such as medical imaging and satellitemonitoring. A considerable number of current methods of analysis are based onparametric statistics. Alternatively, some methods in ComputationalIntelligence are inspired by biology and other sciences. Here we claim thatPhilosophy can be also considered as a source of inspiration. This workproposes the Objective Dialectical Method (ODM): a method for classificationbased on the Philosophy of Praxis. ODM is instrumental in assembling evolvablemathematical tools to analyze multispectral images. In the case study describedin this paper, multispectral images are composed of diffusion-weighted (DW)magnetic resonance (MR) images. The results are compared to ground-truth imagesproduced by polynomial networks using a morphological similarity index. Theclassification results are used to improve the usual analysis of the apparentdiffusion coefficient map. Such results proved that gray and white matter canbe distinguished in DW-MR multispectral analysis and, consequently, DW-MRimages can also be used to furnish anatomical information.

computerized medical imaging and graphics

Dialectical Multispectral Classification of Diffusion-Weighted Magnetic  Resonance Images as an Alternative to Apparent Diffusion Coefficients Maps to  Perform Anatomical Analysis