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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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