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Abstract #3054

Accelerating brain DCE-MRI acquisition using an iterative reconstruction method with total generalized variation penalty: feasibility study

Chunhao Wang 1,2 , Fang-Fang Yin 1,2 , John P Kirkpatrick 1,2 , and Zheng Chang 1,2

1 Radiation Oncology, Duke University Medical Center, Durham, North Carolina, United States, 2 Medical Physics Graduate Program, Duke University, Durham, North Carolina, United States

In this pilot study, we investigated the feasibility of using an iterative MR reconstruction method with a total generalized variation (TGV) regularization term DCE-MRI study. The clinical brain DCE-MRI data was undersampled with a simulated acceleration factor of 8 in MR acquisition, and the quantitative permeability and perfusion information were jointly estimated from the reconstructed images. Results showed that by visual comparison, the parametric maps calculated from reconstructed images were very close to the corresponding ones calculated from original data. The quantitative evaluation within the selected region-of-interest indicated that permeability and perfusion parameters were accurately calculated using the undersampled data.

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