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Abstract #4896

Undersampled Multi Coil Image Reconstruction for Fast FMRI Using Adaptive Linear Neurons

Thimo Grotz1, Benjamin Zahneisen1, Marco Reisert1, Maxim Zaitsev1, Jrgen Hennig1

1Dept. of Diagnostic Radiology, Medical Physics, University Hospital Freiburg, Freiburg, Germany


Standard fMRI experiments have a rather limited temporal resolution of 1-3s. The temporal resolution of fMRI experiments can be increased by an order of magnitude by acquiring less k-space and using a high number of receive channels. Image reconstruction is thus an ill-posed inverse problem. Here we would like to introduce a new approach, based on neural networks, to reconstruct the undersampled fMRI data that offers a significantly improved point spread function with reduced spatial spread and hence improved spatial localization of activation.