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Calculation of cerebral perfusion parameters using regional arterial input functions identified by factor analysis
Author(s) -
Knutsson Linda,
Larsson ElnaMarie,
Thilmann Oliver,
Ståhlberg Freddy,
Wirestam Ronnie
Publication year - 2006
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.20535
Subject(s) - cerebral blood flow , voxel , cerebral perfusion pressure , perfusion , grey matter , medicine , pixel , nuclear medicine , cerebral blood volume , computer science , white matter , biomedical engineering , artificial intelligence , radiology , cardiology , magnetic resonance imaging
Purpose To calculate regional cerebral blood volume (rCBV), regional cerebral blood flow (rCBF), and regional mean transit time (rMTT) accurately, an arterial input function (AIF) is required. In this study we identified a number of AIFs using factor analysis of dynamic studies (FADS), and performed the cerebral perfusion calculation pixel by pixel using the AIF that was located geometrically closest to a certain voxel. Materials and Methods To verify the robustness of the method, simulated images were generated in which dispersion or delay was added in some arteries and in the corresponding cerebral gray matter (GM), white matter (WM), and ischemic tissue. Thereafter, AIFs were determined using the FADS method and simulations were performed using different signal‐to‐noise ratios (SNRs). Simulations were also carried out using an AIF from a single pixel that was manually selected. In vivo results were obtained from normal volunteers and patients. Results The FADS method reduced the underestimation of rCBF due to dispersion or delay that often occurs when only one AIF represents the entire brain. Conclusion This study indicates that the use of FADS and the nearest‐AIF method is preferable to manual selection of one single AIF. J. Magn. Reson. Imaging 2006. © 2006 Wiley‐Liss, Inc.