Effects of MRI Protocol Parameters, Preload Injection Dose, Fractionation Strategies, and Leakage Correction Algorithms on the Fidelity of Dynamic-Susceptibility Contrast MRI Estimates of Relative Cerebral Blood Volume in Gliomas

^aFrom the University of California, Los Angeles Brain Tumor Imaging Laboratory (K.A.B.L., B.M.E.), Center for Computer Vision and Imaging Biomarkers
^bDepartment of Bioengineering (K.A.B.L., B.M.E.), Henry Samueli School of Engineering and Applied Science
^cUniversity of California, Los Angeles Neuro-Oncology Program (B.M.E.), University of California, Los Angeles, Los Angeles, California
^dDepartments of Radiological Sciences (A.B.L., B.M.E.)
^eBiomedical Physics (B.M.E.), David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, California
^fDepartment of Diagnostic Imaging (J.L.B.), Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island.

Please address correspondence to Benjamin M. Ellingson, PhD, UCLA Brain Tumor Imaging Laboratory, Departments of Radiology, Biomedical Physics, Bioengineering, and Psychiatry, and Radiological Sciences and Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA 90024; e-mail: ellingson{at}mednet.ucla.edu