Journal
MAGNETIC RESONANCE IN MEDICINE
Volume 79, Issue 4, Pages 2415-2421Publisher
WILEY
DOI: 10.1002/mrm.26888
Keywords
dynamic contrast-enhanced MRI; hepatic lesion perfusion analysis; linear and nonlinear least squares fitting; bolus arrival time; linear inversion
Funding
- NIH [R01CA181566, R01NS072370, R01NS090464, S10OD021782, R01NS095562]
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PurposeTo propose an efficient algorithm to perform dual input compartment modeling for generating perfusion maps in the liver. MethodsWe implemented whole field-of-view linear least squares (LLS) to fit a delay-compensated dual-input single-compartment model to very high temporal resolution (four frames per second) contrast-enhanced 3D liver data, to calculate kinetic parameter maps. Using simulated data and experimental data in healthy subjects and patients, whole-field LLS was compared with the conventional voxel-wise nonlinear least-squares (NLLS) approach in terms of accuracy, performance, and computation time. ResultsSimulations showed good agreement between LLS and NLLS for a range of kinetic parameters. The whole-field LLS method allowed generating liver perfusion maps approximately 160-fold faster than voxel-wise NLLS, while obtaining similar perfusion parameters. ConclusionsDelay-compensated dual-input liver perfusion analysis using whole-field LLS allows generating perfusion maps with a considerable speedup compared with conventional voxel-wise NLLS fitting. Magn Reson Med 79:2415-2421, 2018. (c) 2017 International Society for Magnetic Resonance in Medicine.
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