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Abstract #2559

A Digital Perfusion Phantom for T1-Weighted DCE-MRI

R. Grimm1, J. Churt2, A. Fieselmann1, K. T. Block3, B. Kiefer4, J. Hornegger1

1Pattern Recognition Lab, University of Erlangen-Nuremberg, Erlangen, Germany; 2Technical University Munich, Munich, Germany; 3Department of Radiology, NYU Langone Medical Center, New York, NY, United States; 4MR Application & Workflow Development, Siemens AG, Healthcare Sector, Erlangen, Germany

Novel reconstruction techniques such as Compressed Sensing promise high acceleration factors at a low noise level but do not guarantee to preserve the correctness of image intensities.

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Keywords

acceptable accuracy acquisition advanced agent analytical application approaches arbitrary arrow arrows arterial arteries artery artifacts assessing assigned assuming available blood blue bolus carefully challenging characterization coil color components compressed computed concentration contrast corresponds course coverage delay desired digital dimension distortion distortions domain dynamic dynamics ellipses enables enhanced enhancement equipment evaluation example experiment extension extracted favorable fractional frame frames golden gradual healthy help illustrates impact important increment independent indicated indicates influence initial input investigate iterative keyhole kinetics known latter made materials model modern necessarily novel otherwise overall parallel parker pathological pattern peak perfusion phantom phys plasma popular potential preserve profiles quantitative radial reconstructed reconstruction reconstructions regularization reliable reordering represent requires resolution respectively samples sampling schemes sector sense sensing sensitivity shape sharing sharper simulate simulated sliding smearing smoothed software solid source space spatial spoke spokes strategies technical temporal tissue trajectory trans true tumor tumors typical underestimated underlying uniform user usually visible volume window