Method for the detection of abnormal areas in the brain from magnetic resonance images (Machine-translation by Google Translate, not legally binding)

摘要

Iw-vbm method based on maximizing the use of the magnetic resonance (mr) signal by means of parametric intensity maps, more sensitive and precise in the detection of structurally altered areas of the brain. Stages: filter each original magnetic resonance image of the brain to reduce the random noise and inhomogeneity associated with the mr acquisition process generating a filtered image (1) (d.30); segment by means of a segmentation algorithm the filtered image (1) obtaining a parametric map of probability (3) of each tissue comprised in the brain: sg gray substance (6), sb white substance (7) and cerebrospinal fluid csf (8) ( d.31); multiply each parametric probability map (3) by the filtered image (1) obtaining a parametric intensity map (4) for each fabric sg (6), sb (7) and lcr (8) (d.32); normalize the parametric intensity maps (4) (d.33), and smoothen the standard parametric intensity maps (4) (d.34). (Machine-translation by Google Translate, not legally binding)