Abstract #3692

Tailoring a convolutional neural network towards spectral quantification and reconstruction of simulated 7T brain FID-MRSI data

Dario Goranovic¹, Stanislav Motyka¹, Bernhard Strasser¹, Paul Weiser², Georg Langs², and Wolfgang Bogner¹

¹High Field MR Center - Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, ²Computational Imaging Research Lab - Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria

Synopsis

Keywords: Spectroscopy, BrainThe abstract investigates the possibilities of using convolutional neural networks for enhanced and robust spectral quantification of simulated 7T FID-MRSI brain spectra. The proposed network architecture predicts wavelet parameters for baseline correction, as well as spectral parameters and metabolite amplitudes for spectral reconstruction. The potential reduction in quantification times could thus mitigate some disadvantages of current MRSI processing techniques.

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