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Abstract #3459

Data-Driven Model Consistency Condition Reconstruction Performance for Radial Acquisition in Breast DCE-MRI

Ping N Wang1, Julia V Velikina1, Leah C Henze Bancroft2, Alexey A Samsonov2, and James H Holmes2
1Department of Medical Physics, University of Wisconsin Madison, Madison, WI, United States, 2Department of Radiology, University of Wisconsin Madison, Madison, WI, United States

MOCCO reconstruction enables high spatial and temporal resolution DCE imaging for breast, which was proposed to be less sensitive to modeling error. However, the impact of noise level and lesion size on reconstruction performance is remained unknown. In this work we use a digital reference object phantom with the ability to adjust both spatial and temporal features for breast pharmacokinetic simulation. Further, we perform G-factor analysis of SNR performance, sharpness assessment, nRMSE and PK analysis for evaluating the temporal fidelity.

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