American Journal of Neuroradiology 2009;30:1929.
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American Journal of Neuroradiology
DOI 10.3174/ajnr.A1680
BRAIN
An Automatic Procedure for Normalization of Cerebral Blood Volume Maps in Dynamic Susceptibility Contrast–Based Glioma Imaging
From the Departments of Medical Physics (K.E.E., A.B.) and Interventional Center (K.E.E), Rikshospitalet, Oslo University Hospital, Oslo, Norway; and Department of Physics (A.B.), University of Oslo, Oslo, Norway.
Please address correspondence to Kyrre E. Emblem, MSc, Department of Medical Physics, Rikshospitalet, Oslo University Hospital, Sognsvannsveien 20, N-0027 Oslo, Norway; e-mail: kyrre.eeg.emblem{at}rikshospitalet.no
SUMMARY: To characterize gliomas from dynamic susceptibility contrast (DSC)–based cerebral blood volume (CBV) maps, a CBV value from a normal-appearing region of interest is typically identified manually and used to normalize the CBV maps. This method is user-dependent and time-consuming. We propose an alternative approach based on automatic identification of normal-appearing first-pass curves from brain tissue. Our results in 101 patients suggest similar or better diagnostic accuracy values than the manual approach.