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Abstract #5108

Correction Algorithm for Singular Value Decomposition Artifact in Quantitative Cerebral Perfusion Images Using SCALE-PWI

Jessy J. Mouannes1, Wanyong Shin2, Saurabh Shah3, Anindya Sen4, Sameer Maheshwari1, Timothy Carroll1,4

1Biomedical Engineering, Northwestern University, Chicago, IL, United States; 2National Institute on Drug Abuse, National Institute of Health, Baltimore, MD, United States; 3Siemens Medical Solutions USA, Chicago, IL, United States; 4Radiology, Northwestern University, Chicago, IL, United States

Self-CALibrated Epi Perfusion Weighted Imaging (SCALE-PWI) MRI pulse sequence produces quantitative cerebral perfusion images in a single MRI scan, using dynamic susceptibility contrast (DSC) and T1 changes in normal white matter in relation to changes in the blood pool after contrast injection. A singular value decomposition algorithmic artifact results in alternating signal intensity modulation in the reconstructed quantitative perfusion maps of consecutive slices. A correction method to eliminate this artifact is presented in this study at 1.5T. The results show a significant effect of this correction on the resulting quantitative maps, which become more accurate and suitable for clinical diagnosis.