Two studies, recently published in Neuroimage: Clinical, present new computational tools for the detection of brain atrophy from structural MRI (sMRI) data. The findings could improve the accuracy of Alzheimer disease (AD) diagnosis.
Individuals with AD show progressive brain atrophy, which can be detected with sMRI and has been used as a biomarker for early diagnosis. Automated processing techniques have been developed to segment brain regions of interest in sMRI images and measure atrophy. In the first study, Hanne Struyfs and colleagues developed a new tool to perform this segmentation. The tool, named icobrain dm, divides the sMRI image into…
_3-100x70.jpg "Updates From Michael Weiner, MD Principal Investigator of the UCSF Brain Health Registry")
