UT Health Science Center San Antonio's groundbreaking AI tool can count brain lesions in seconds.
showcased the utility of the AI tool in identifying and counting enlarged perivascular spaces . These spaces, filled with cerebrospinal fluid, surround arteries and veins and serve as markers for cerebral small-vessel disease. The research involved a follow-up analysis of 1,026 participants from the Multi-Ethnic Study of Atherosclerosis , collaborating with researchers from eight institutions.Dr.
The team's automated deep-learning method for ePVS detection, described in Neuroimage: Reports, showcases the power of the algorithm. Dr. Habes explained, "This tool recognizes them, tells us their exact locations, counts them, and tells us their volumes. It tells us a ton of information about them, far more than what a human can do." This technology opens up new possibilities for studying and understanding brain lesions.
During their investigation, the researchers discovered that enlarged perivascular spaces in the brain's basal ganglia and thalamus regions hold particular significance. These regions have shown associations with stroke and markers of small-vessel disease. The basal ganglia, an essential deep-brain region linked to neurodegenerative disorders, plays a role in movement and decision-making. The thalamus, located near the basal ganglia, is involved in sensory functions such as taste and touch.
Dr. Habes expressed hope that the AI tool for enumerating brain lesions will undergo further study at Alzheimer's Disease Research Centers . The technology represents a significant stride forward in medical imaging and paves the way for more efficient and accurate diagnoses in the future.
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