6533b826fe1ef96bd1284728
RESEARCH PRODUCT
Optimizing MRI contrast with B1 pulses using optimal control theory
Helene RafineySteffen J. GlaserDominique SugnyMichael TeschEric Van Reethsubject
0209 industrial biotechnologyComputer science[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingContrast (statistics)02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingOptimal control01 natural sciences[SPI.AUTO]Engineering Sciences [physics]/AutomaticMagnetization020901 industrial engineering & automationRobustness (computer science)[ SPI.AUTO ] Engineering Sciences [physics]/Automatic0103 physical sciences010306 general physicsAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingExcitationSimulation[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/ImagingComputingMilieux_MISCELLANEOUSdescription
The variety of achievable contrasts by MRI makes it a highly flexible and valuable diagnostic tool. Contrast results from relaxation time differences, which are intrinsic properties of each tissue. Using optimal control theory, one can control the obtained contrast by applying excitation pulses that bring the magnetization in a user-defined target state. Simulation results are presented to illustrate the feasibility and the flexibility of using optimal contrast pulses. The robustness to experimental variable parameters such as field inhomogeneities is also studied. Finally, an in-vitro contrast experiment is performed on a small-animal MRI showing a reasonable match with the simulation results.
year | journal | country | edition | language |
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2016-04-13 |