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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