Abstract #2056

Optimizing Acquisition & Reconstruction for a Narrower Temporal Footprint in Time-Resolved 3DPR Liver Perfusion

Ethan K. Brodsky^1,2, Kevin M. Johnson³, Walter F. Block^3,4, Scott B. Reeder^1,3

¹Radiology, University of Wisconsin, Madison, WI, United States; ²Medical Physics, University of Wisconsin , Madison, WI, United States; ³Medical Physics, University of Wisconsin, Madison, WI, United States; ⁴Biomedical Engineering, University of Wisconsin, Madison, WI, United States

Detection, characterization and monitoring of hepatocellular carcinomas (HCC) in cirrhotic patients is challenging due to their variable and rapid arterial enhancement. Early efforts to supplant conventional multiphase CE-MRI with a time-resolved undersampled multi-echo 3DPR technique have shown promise, but require a wide temporal footprint to achieve adequate image quality, compromising temporal fidelity of small lesions enhancement and complicating quantitative modeling. In this work, we discuss improved k-space sampling trajectories and the incorporation of an iterative SENSE-based constrained reconstruction algorithm that lead to substantially improved temporal resolution and image quality. Consistency weighting allows for efficient use of data from multiple echo times.