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Abstract #4365

Fast Simultaneous Multi-Slice Multi-Shell Diffusion Tensor Imaging with Model-based Reconstruction

Oliver Maier1, Stefan M Spann1, Lea Bogensperger1,2, and Rudolf Stollberger1,3
1Institute of Medical Engineering, Technical University Graz, Graz, Austria, 2Institute for Computer Graphics and Vision, Technical University Graz, Graz, Austria, 3Biotechmed, Graz, Austria

Multi-Shell DTI suffers from low SNR for high b-value data and prolonged scan time. The Gaussian noise assumption is typically violated due to multi-coil imaging and magnitude forming thus requiring special treatment to avoid biases in the DTI estimates. To this end, we propose a model-based reconstruction technique to exploit the Gaussian noise in the raw k-space data and enable acceleration of the DTI measurement. We show the acceleration potential and quantitative accuracy of the proposed method for mono- and bi-exponential fitting approaches on freely available DTI data and full brain DTI measurements of one healthy volunteer.

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