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Abstract #3847

Dynamic Quantitative Susceptibility Mapping for Contrast Agent Concentration

Bo Xu1, Tian Liu2, Pascal Spincemaille2, Nanda Deepa Thimmappa2, Martin R. Prince2, Yi Wang1

1Biomedical Engineering, Cornell University, Ithaca, NY, United States; 2Weill Cornell Medical College, New York, United States

A dynamic quantitative susceptibility imaging method is presented for 3D imaging of Gadolinium concentration at sub-second frame rate. A multi-echo flow compensated spiral gradient echo is used for data acquisition. Temporal resolution acceleration with constrained evolution reconstruction is used to generate high temporal frame rate. A morphology enabled dipole inversion with nonlinear formulation is used to generate quantitative susceptibility mapping from complex frame images.

Keywords

absolute acceleration achieve achieving acquisition acute agent agreement agrees anyone approximation arrival arterial arteries artery audience axes axial background biomedical bolus cardiac cerebral channel coil college complex concentration consecutive constrain constrained contrast course currently curve developed dipole discrepancy diseases dispersion dynamic enabled encoding engineering enhancement equation evolution fifteen formulation frame frames function gadolinium generate golden gradient great head healthy immediately important initiated injection input intensity inversion lack least leaves likely mapped mapping martin matrix measured medical middle minutes moment morphology nonlinear nulling output partial pascal passage peak perfusion plot plotted previous prince prior processed promises pulse quantification quantify quantitative reconstructed reconstruction relationship removed representative requires resolution rotated roughly scale scaling scanned several sinus slices solver space spatial spiral spirals stack stages start straight stroke subsequent subtraction successfully suffers susceptibility takes target temporal tissue tracer tumor understand various veins venous vessels volume volunteers written