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Abstract #2613

Faster and better HARDI using FSE and holistic reconstruction

Maarten Naeyaert1, Vladimir Golkov2, Daniel Cremers2, Jan Sijbers3, and Marleen Verhoye4
1Radiology, Universitair Ziekenhuis Brussel, Brussels, Belgium, 2Department of Computer Science, Technical University of Munich, Garching, Germany, 3Imec-Vision Lab, University of Antwerp, Wilrijk, Belgium, 4Bio-Imaging Lab, University of Antwerp, Wilrijk, Belgium

To accelerate the acquisition of HARDI data, compressed sensing can be used to subsample the data both in k-space and in q-space, using a holistic algorithm for the combined reconstruction. Fast spin echo (FSE) data has fewer deformation artefacts as EPI data, but often requires a multishot acquisition, making subsampling k-space more attractive. In this work FSE data was subsampled retrospectively to investigate different types of subsampling: subsampling q-space only, also using 1D k-space subsampling, or using q-space and alternated 1D k-space subsampling. The results show that for a given subsampling factor the alternated 1D k-space subsampling strategy performs best.

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