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Improved dynamic susceptibility contrast (DSC)‐MR perfusion estimates by motion correction
Author(s) -
Kosior Robert K.,
Kosior Jayme C.,
Frayne Richard
Publication year - 2007
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.21128
Subject(s) - imaging phantom , perfusion , cerebral blood flow , nuclear medicine , motion (physics) , contrast (vision) , medicine , computer science , perfusion scanning , artificial intelligence , computer vision , biomedical engineering , radiology , cardiology
Purpose To investigate the effect of patient motion on quantitative cerebral blood flow (CBF) maps in ischemic stroke patients and to evaluate the efficacy of a motion‐correction scheme. Materials and Methods Perfusion data from 25 ischemic stroke patients were selected for analysis. Two motion profiles were applied to a digital anthropomorphic brain phantom to estimate accuracy. CBF images were generated for motion‐corrupted and motion‐corrected data. To correct for motion, rigid‐body registration was performed. The realignment parameters and mean CBF in regions of interest were recorded. Results All patient data with motion exhibited visibly reduced intervolume misalignment after motion correction. Improved flow delineation between different tissues and a more clearly defined ischemic lesion (IL) were achieved in the motion‐corrected CBF. A significant difference occurred in the IL ( P < 0.05) for patients with severe motion with an average difference between corrupted and corrected data of 4.8 mL/minute/100 g. The phantom data supported the patient results with better CBF accuracy after motion correction and high registration accuracy (<1 mm translational and <1° rotational error). Conclusion Motion degrades flow differentiation between adjacent tissues in CBF maps and can cause ischemic severity to be underestimated. A registration motion correction scheme improves dynamic susceptibility contrast (DSC)‐MR perfusion estimates. J. Magn. Reson. Imaging 2007;26:1167–1172. © 2007 Wiley‐Liss, Inc.