Magnetic resonance signal processing tool for diagnostic classification

Since tissue function has an influence on the structure and integrity, measures that characterize the changes of tissue content allow one to detect the tissue loss or functional damage. The purpose of this investigation is to localize tissue with iron overload and illustrate its simple detection and quantification at magnetic resonance images. This article describes a simple, novel and quantitative method to calculate an ion excess from processing of magnetic resonance signals. After description of iron overload in brain tissues and the magnetic resonance signal processing method the relationships between iron deposition and Alzheimer's disease stages are presented. Magnetic resonance images of independently diagnosed subjects used for assessment of tissue iron. The result of brain tissue iron deposition was the highest in Alzheimer's disease cases and the lowest in normal subjects. Proposed techniques of signal processing allow robust estimates of organ iron concentration with functional correlations in patients with iron overload.