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Quantification of cerebral perfusion using dynamic quantitative susceptibility mapping
Author(s) -
Xu Bo,
Spincemaille Pascal,
Liu Tian,
Prince Martin R.,
Dutruel Silvina,
Gupta Ajay,
Thimmappa Nanda Deepa,
Wang Yi
Publication year - 2015
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.25257
Subject(s) - quantitative susceptibility mapping , cerebral blood flow , gadolinium , dynamic contrast enhanced mri , nuclear magnetic resonance , magnetic resonance imaging , perfusion scanning , temporal resolution , deconvolution , perfusion , dynamic imaging , contrast (vision) , pulse sequence , biomedical engineering , materials science , computer science , physics , medicine , radiology , image processing , artificial intelligence , optics , algorithm , digital image processing , metallurgy , cardiology , image (mathematics)
Purpose The purpose of this study is to develop a dynamic quantitative susceptibility mapping (QSM) technique with sufficient temporal resolution to map contrast agent concentration in cerebral perfusion imaging. Methods The dynamic QSM used a multiecho three‐dimensional (3D) spoiled gradient echo golden angle interleaved spiral sequence during contrast bolus injection. Four‐dimensional (4D) space‐time resolved magnetic field reconstruction was performed using the temporal resolution acceleration with constrained evolution reconstruction method. Deconvolution of the gadolinium‐induced field was performed at each time point with the morphology enabled dipole inversion method to generate a 4D gadolinium concentration map, from which three‐dimensional spatial distributions of cerebral blood volume and cerebral blood flow were computed. Results Initial in vivo brain imaging demonstrated the feasibility of using dynamic QSM for generating quantitative 4D contrast agent maps and imaging three‐dimensional perfusion. The cerebral blood flow obtained with dynamic QSM agreed with that obtained using arterial spin labeling. Conclusion Dynamic QSM can be used to perform 4D mapping of contrast agent concentration in contrast‐enhanced magnetic resonance imaging. The perfusion parameters derived from this 4D contrast agent concentration map were in good agreement with those obtained using arterial spin labeling. Magn Reson Med 73:1540–1548, 2015. © 2014 Wiley Periodicals, Inc.