Automatic MRI Quantification of Structural Brain Abnormalities
Category:
Diagnostic,Research Tool,Software
Description:
This invention enables the automatic detection of
brain areas that are abnormally small or large. The diagnosis of many
neurological diseases rely on the visual detection of areas in the brain that
are abnormally small. With this technique, one may be able to map the locations
in the brain where there is a difference in brain tissue compared to the normal
population. The quantification through the use of Z-scores enables the observer
to gauge how abnormal this area is compared to a standard. While this technique
does not specifically diagnoses a disease, it may help the
clinical judgement of MRI images.
Potential Applications:
Any brain abnormality
Inventor(s):
Dr. L. Bonilha, MD.; and Dr. J. Edwards, MD.
Patent Status:
Provisional Patent Application Filed
Availability:
Available for:
exclusive non-exclusive licensing.
Technology Status:
Licensing Contact:
Ryan N. Fiorini, Ph.D., MBA, MHA
MUSC Foundation for Research Development
PO Box 250828
Charleston, SC 29425
843.876.1906 fiorinir@musc.edu