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Abstract #2834

Time-Resolved Imaging with Multiplicative Algebraic Reconstruction Technique (MART): An Application of HYPR Principles for Variable Density Cartesian Acquisitions

Reed F. Busse1, Angel R. Pineda2, Kang Wang3, James H. Holmes1, Jean H. Brittain1, Frank R. Korosec4

1Applied Science Laboratory, GE Healthcare, Madison, WI, USA; 2Mathematics, California State University, Fullerton, CA, USA; 3Medical Physics, University of Wisconsin, Madison, WI, USA; 4Radiology, University of Wisconsin, Madison, WI, USA

MART reconstruction is applied to time-resolved MRI with an interleaved variable k-t density Cartesian acquisition. As introduced by HYPR, a time-averaged image is used as an initial estimate, conditioning the problem. Several multiplicative update iterations enforce consistency with the data. Additionally, a median filter in the time dimension is applied to suppress artifacts not consistent with physiological assumptions. Modeling experiments, simulating instantaneous contrast arrival in vessels of various sizes, are used to compare the proposed technique to conventional view sharing. MART was found to reproduce the enhancing objects more faithfully with less blurring in the spatial and temporal dimensions.