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Accelerated fluorine‐19 MRI cell tracking using compressed sensing
Author(s) -
Zhong Jia,
Mills Parker H.,
Hitchens T. Kevin,
Ahrens Eric T.
Publication year - 2013
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.24414
Subject(s) - compressed sensing , imaging phantom , in vivo , tracking (education) , acceleration , signal (programming language) , computer science , signal to noise ratio (imaging) , biomedical engineering , noise (video) , magnetic resonance imaging , artificial intelligence , computer vision , nuclear magnetic resonance , materials science , pattern recognition (psychology) , physics , image (mathematics) , medicine , optics , radiology , psychology , telecommunications , pedagogy , microbiology and biotechnology , classical mechanics , biology , programming language
Cell tracking using perfluorocarbon labels and fluorine‐19 ( 19 F) MRI is a noninvasive approach to visualize and quantify cell populations in vivo. In this study, we investigated three‐dimensional compressed sensing methods to accelerate 19 F MRI data acquisition for cell tracking and evaluate the impact of acceleration on 19 F signal quantification. We show that a greater than 8‐fold reduction in imaging time was feasible without pronounced image degradation and with minimal impact on the image signal‐to‐noise ratio and 19 F quantification accuracy. In 19 F phantom studies, we show that apparent feature topology is maintained with compressed sensing reconstruction, and false positive signals do not appear in areas devoid of fluorine. We apply the three‐dimensional compressed sensing 19 F MRI methods to quantify the macrophage burden in a localized wounding‐inflammation mouse model in vivo; at 8‐fold image acceleration, the 19 F signal distribution was accurately reproduced, with no loss in signal‐to‐noise ratio. Our results demonstrate that three‐dimensional compressed sensing methods have potential for advancing in vivo 19 F cell tracking for a wide range of preclinical and translational applications. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.