Abstract #0407
Advancing the clinical utility of MRI with online quantitative analysis: application to brain tissue classification in multiple sclerosis
Refaat E Gabt 1 , Xiaojun Sun 1 , Amol Pednekar 2 , and Ponnada A Narayana 1
1
Diagnostic and Interventional Radiology,
University of Texas Health Science Center at Houston,
Houston, TX, United States,
2
Philips
Healthcare, Cleveland, OH, United States
The quantitative power of MRI in neuroimaging is largely
limited to research purposes and hardly finds its way
into the clinical world, primarily due to the
computationally-intensive nature of quantitative
neuroimaging and the large amount of MRI data. We
developed an integrated image acquisition and analysis
pipeline that seamlessly combines the data acquisition
with the high performance computation. To demonstrate
the power of this pipeline, in 16 multiple sclerosis
patients, the brain was classified into white matter,
grey matter, cerebrospinal fluid, and white matter
lesions in under one minute. The tissue maps were
imported back to the scanner for clinical review.
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