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- W4385543110 abstract "This work is focused on estimation of an arterial input function (AIF) in DCE-MRI. We propose a new concept of blind deconvolution to use as much available information as possible. In contrast to multi-channel blind deconvolution based on processing of selected tissue signals, our all-channel blind deconvolution uses tissue signals of all voxels within the studied tissue to simultaneously estimate the AIF and perfusion maps. In addition, edge-preserving spatial regularization is included in the perfusion-map estimation scheme. The method is illustrated on DCE-MRI recordings of tumor-bearing mice." @default.
- W4385543110 created "2023-08-04" @default.
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- W4385543110 date "2023-08-03" @default.
- W4385543110 modified "2023-10-17" @default.
- W4385543110 title "Arterial Input Function Estimation Using All-Channel Blind Deconvolution with Spatial Regularization in DCE-MRI" @default.
- W4385543110 doi "https://doi.org/10.58530/2022/1582" @default.
- W4385543110 hasPublicationYear "2023" @default.
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