Difference between revisions of "Projects:LesionSegmentation"
(New page: Back to UNC Algorithms __NOTOC__ = Lesion Segmentation = Quantification, analysis and display of brain pathology such as white matter lesions as observed in MRI is imp...) |
|||
| Line 1: | Line 1: | ||
| − | Back to [[Algorithm: | + | Back to [[Algorithm:Utah2|Utah 2 Algorithms]] |
__NOTOC__ | __NOTOC__ | ||
Revision as of 16:23, 27 June 2008
Home < Projects:LesionSegmentationBack to Utah 2 Algorithms
Lesion Segmentation
Quantification, analysis and display of brain pathology such as white matter lesions as observed in MRI is important for diagnosis, monitoring of disease progression, improved understanding of pathological processes and for developing new therapies. The Utah Neuroimage Analysis Group develops new methodology for extraction of brain lesions from volumetric MRI scans and for characterization of lesion patterns over time. The images show white matter lesions (yellow) displayed with ventricles (blue) and transparent brain surface in a patient with an autoimmune disease (lupus). Lesions in white matter and possible correlations with cognitive deficits are also studied in patients with multiple sclerosis (MS), chronic depression, Alzheimer’s disease (AD) and in older persons.
Key Investigators
Utah: Marcel Prastawa, Guido Gerig
