Abstract #4222

Accelerating Intravoxel Incoherent Motion Imaging of the Brain using k-b PCA

Georg Spinner¹, Johannes Frieder Matthias Schmidt¹, and Sebastian Kozerke¹

¹Institute for Biomedical Engineering, ETH Zurich, Zurich, Switzerland

In vivo Intravoxel Incoherent Motion (IVIM) parameter mapping in the brain is particularly challenging because of inherent noise amplification of parallel imaging. To address this limitation, correlations in space and in the b-value dimension may be jointly exploited. To this end, an iterative approach of k-t PCA was adapted to allow image reconstruction from undersampled IVIM data. Reconstruction and parameter estimation errors of the proposed k-b PCA approach relative to parallel imaging were assessed. Mean absolute parameter errors of k-b PCA were lower compared to CG-SENSE (R=4): 1.3±1.9·10^-4/1.8±2.0·10-4 mm²/s (D) 0.068±0.083/0.085±0.101 (f) and 6.4±16.9·10^-2/7.6±18.3·10^-2 mm²/s (D*). It is concluded that k-b PCA is a promising alternative to parallel imaging to reduce scan times while maintaining the quality of diffusion and perfusion parameter maps in brain exams.

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