Rapid Magnetic Resonance Imaging (MRI): Using Numerical Methods to Move from Anatomy to Physiological Function
Walter F. Block, PhD
Associate Professor, Department of Biomedical Engineering, University of Wisconsin - Madison
Tuesday, November 03, 2009
4:00 PM, 1111 Genetics-Biotechnology Center, 425 Henry Mall
Abstract:
MRI has made significant contributions, along with computed tomography
(CT), to virtually eliminate the need for exploratory surgery. MRI is very
effective in the diagnosis of acute conditions, where its phalanx of
contrast mechanisms can demonstrate changes in morphology (anatomy). But MRI
could make significant contributions to understanding the progression of
subacute degenerative processes and disease treatment if its contrast
mechanisms could be obtained faster and quantitatively. MRI is inherently
slow because its data is acquired in a spectroscopic manner (Fourier domain)
rather than a geometric manner and thus the addition of more and more
sensors does not create anywhere near the acceleration one can achieve in CT
or ultrasound with more hardware. Quantitative imaging also often requires
an additional dimension of data, increasing scan time by an order of 10.
This presentation investigates how numerical approaches can utilize the
inherent correlation between MR data sets to speed acquisition.
Applications in perfusion, vascular imaging, cancer detection and treatment,
and osteoarthritis will be shown.
Additional CS events.
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