This relatively new form of medical imaging provides a more exact, quantified analysis of multiple properties of material or tissue, compared to the purely qualitative measurements provided by other magnetic resonance methods. Using the grant money, MR fingerprinting will be used to scan and analyze the brain activity of patients with epilepsy.
“Our goal is to further develop machine learning algorithms to analyze the images and thereby improve diagnosis in challenging epilepsy cases,” Irene Wang, PhD, a staff scientist at Cleveland Clinic and co-principal investigator on the grant, said in a statement. “We believe this combination of innovations will allow visualization of small, subtle epileptic pathologies that we could not see before. This will aid identification of candidates for epilepsy surgery and help pinpoint where in the brain their seizures originate.”
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