Robust dynamic susceptibility contrast MR perfusion using 4D nonlinear noise filters

@article{citeulike:1959278, abstract = {To investigate if 4D (simultaneous space and time) nonlinear filtering techniques can produce more robust cerebral blood flow (CBF) estimates by reducing noise in acquired dynamic susceptibility contrast (DSC) MR perfusion data.A digital anthropomorphic brain perfusion phantom was constructed to analyze filter performance by: 1) deriving anthropomorphic tissue volume fractions from a human subject and 2) simulating DSC-MR perfusion signals for voxels with mixed tissue for various signal-to-noise ratios (SNRs). DSC-MR data for 11 acute ischemic stroke patients were also acquired at 3T. CBF maps cross-calibrated so that normal white matter CBF was 22 mL/minute/100 g were produced from DSC-MR data without filtering and from 4D-Gaussian and 4D-bilateral noise-filtered DSC-MR data.The nonlinear 4D-bilateral filter yielded the lowest CBF root-mean square error (RMSE) in the phantom experiments with noise (average RMSE across all tissues regions for no filtering, 4D-Gaussian, and 4D-bilateral was 5.3 mL/minute/100 g, 6.2 mL/minute/100 g, and 4.0 mL/minute/100 g, respectively) and had the best image quality in both the phantom and patient data.Nonlinear 4D noise filters are better suited to the 4D nature of DSC-MR data. Linear spatial filters are not appropriate and can produce larger CBF errors than without filtering. J. Magn. Reson. Imaging 2007. {\copyright} 2007 Wiley-Liss, Inc.}, address = {Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada; Seaman Family MR Research Centre, Foothills Medical Centre, Calgary Health Region, Calgary, Alberta, Canada; Department of Radiology, University of Calgary, Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada}, author = {Kosior, Jayme C. and Kosior, Robert K. and Frayne, Richard }, citeulike-article-id = {1959278}, doi = {10.1002/jmri.21219}, journal = {Journal of Magnetic Resonance Imaging}, keywords = {bilateral-filtering, brain, dce-mri, noise}, number = {9999}, pages = {NA+}, posted-at = {2007-11-22 13:52:50}, priority = {4}, title = {Robust dynamic susceptibility contrast MR perfusion using 4D nonlinear noise filters}, url = {http://dx.doi.org/10.1002/jmri.21219}, volume = {9999}, year = {2007} }

TY - JOUR ID - citeulike:1959278 L3 - citeulike-article-id:1959278 TI - Robust dynamic susceptibility contrast MR perfusion using 4D nonlinear noise filters JF - Journal of Magnetic Resonance Imaging VL - 9999 IS - 9999 SP - NA AD - Department of Electrical and Computer Engineering, University of Calgary, Calgary, Alberta, Canada; Seaman Family MR Research Centre, Foothills Medical Centre, Calgary Health Region, Calgary, Alberta, Canada; Department of Radiology, University of Calgary, Calgary, Alberta, Canada; Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada N2 - To investigate if 4D (simultaneous space and time) nonlinear filtering techniques can produce more robust cerebral blood flow (CBF) estimates by reducing noise in acquired dynamic susceptibility contrast (DSC) MR perfusion data.A digital anthropomorphic brain perfusion phantom was constructed to analyze filter performance by: 1) deriving anthropomorphic tissue volume fractions from a human subject and 2) simulating DSC-MR perfusion signals for voxels with mixed tissue for various signal-to-noise ratios (SNRs). DSC-MR data for 11 acute ischemic stroke patients were also acquired at 3T. CBF maps cross-calibrated so that normal white matter CBF was 22 mL/minute/100 g were produced from DSC-MR data without filtering and from 4D-Gaussian and 4D-bilateral noise-filtered DSC-MR data.The nonlinear 4D-bilateral filter yielded the lowest CBF root-mean square error (RMSE) in the phantom experiments with noise (average RMSE across all tissues regions for no filtering, 4D-Gaussian, and 4D-bilateral was 5.3 mL/minute/100 g, 6.2 mL/minute/100 g, and 4.0 mL/minute/100 g, respectively) and had the best image quality in both the phantom and patient data.Nonlinear 4D noise filters are better suited to the 4D nature of DSC-MR data. Linear spatial filters are not appropriate and can produce larger CBF errors than without filtering. J. Magn. Reson. Imaging 2007. © 2007 Wiley-Liss, Inc. KW - bilateral-filtering KW - brain KW - dce-mri KW - noise AU - Kosior, Jayme AU - Kosior, Robert AU - Frayne, Richard PY - 2007/// UR - http://dx.doi.org/10.1002/jmri.21219 ER -