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Abstract #4378

Accelerated in vivo Cell Tracking Using Fluorine-19 MRI with Compressed Sensing

MAGNA25Jia Zhong1, 2, Parker H. Mills1, 2, T Kevin Hitchens1, 2, Eric T. Ahrens1, 2

1Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, United States; 2The Pittsburgh NMR Center for Biomedical Research, Carnegie Mellon University, Pittsburgh, PA, United States

Compressed sensing (CS) has been used to significantly reduce acquisition times in a variety of MRI applications. In the current study, we describe a 3D CS method for accelerated 19F MRI and signal quantification that is suitable for cell tracking using perfluorocarbon (PFC) labels. The methods utility was demonstrated in a localized inflammation mouse model, where the quantification of PFC 19F spins in macrophages was performed at the inflammatory site. The 3D CS method displays great potential in advancing in vivo 19F MRI cell tracking to different applications including longitudinal tracking of 19F-labeled cells and in vivo cytometry.

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Keywords

accelerated acceleration accuracy accurately addition advantage anatomical anesthetized angiography anterior applications applied averaging axial back biomedical boost briefly burden capillaries capillary cell cells certain chemical circulation closed coincides combined comparable compressed consistency constraint cross crown density detected detection developed diameters diluted display dynamic eight emerged employed emulsion enabled encoding equation examined fluorine fold fully fused gated good gradient greater horizontal hours house in vivo incision indicates inflammation isolated known labeled labeling largest long loss macrophage macrophages made matrix mills model moreover mouse nature near nonlinear norm normalized often operators owed parker pattern phantom post potential powerful predetermined prob pseudo quantification quantitative quantitatively random rare reagent reconstruction reduce reduction regime reported represents respectively sampled scanned sciences search sectional sensing several side sign significantly site sites situ skin software space sparsity spatial specificity spin spins straightforward stronger studies suited system table thereby threshold torso tracking transform underlay utility variation vein vertical view visualizing wall wounding