1Pattern Recognition Lab, FAU Erlangen-Nuremberg, Erlangen, Germany; 2Department of Radiology, New York University Langone Medical Center, New York City, NY, United States; 3Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nrnberg, Erlangen, Germany; 4Siemens Healthcare, Erlangen, Germany; 5Department of Radiology, NYU Langone Medical Center, New York City, NY, United States
Compressed Sensing reconstruction of DCE-MRI with radial stack-of-stars GRE acquisition suffers from two shortcomings: First, the acquisition cannot be combined with conventional bolus-detection techniques to confirm successful bolus administration. Second, in abdominal examinations only few of the up to 100 reconstructed volumes are relevant for clinical diagnosis. An automatic, k-space based method is presented that addresses both problems. A bolus signal reflecting the course of global contrast enhancement is extracted and used to accurately determine the bolus arrival time. Using population-based estimates for the delay of arterial and venous enhancement in the liver, the corresponding images can be identified.