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Abstract #1857

Breast DCE-MRI using Radial Acquisition with Data-Driven Model Consistency Condition Reconstruction

Ping N Wang1, Julia V Velikina1, Roberta M Strigel1,2,3, Leah C Henze Bancroft2, Kang Wang4, Ty A Cashen4, Kevin M Johnson1, Alexey Samsonov2, Ali Ersoz5, Edward F Jackson1,2,3, 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, 3Carbone Cancer Center, University of Wisconsin Madison, Madison, WI, United States, 4Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 5MR Engineering, GE Healthcare, Waukesha, WI, United States

Advanced data acquisition and reconstruction methods have been proposed to improve temporal and spatial resolution DCE imaging for breast. However, few studies have validated these techniques. In this work we propose a radial acquisition with MOCCO reconstruction and assess performance of these methods using a simulated digital reference object breast phantom including pharmacokinetic simulation. An improvement to the MOCCO formulation is proposed using independent component analysis to learn the temporal components. Finally, the extended Tofts model was used to extract pharmacokinetic parameters from time series with different temporal resolution. Dynamic data were then use for pharmacokinetic (PK) fitting to assess the ability to recover PK parameters.

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