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Abstract #1582

Arterial Input Function Estimation Using All-Channel Blind Deconvolution with Spatial Regularization in DCE-MRI

Radovan Jirik1, Michal Bartos2, Ondrej Macicek1, and Zenon Starcuk, jr.1
1Institute of Scientific Instruments, Czech Academy of Sciences, Brno, Czech Republic, 2Institute of Information Theory and Automation, Czech Academy of Sciences, Praha, Czech Republic


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.

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