Segmented diffusion imaging with iterative motion corrected reconstruction (SEDIMENT) is studied at 7T for self-navigated multi-shot DWI reconstruction including rigid in-plane motion correction. Motion-corrupted datasets contain intra-shot motion corrupted data with imperfect diffusion-sensitizing gradient reversal, which have to be identified and removed. The iterative SEDIMENT framework is evaluated in-vivo in conjunction with tailored data rejection strategies to detect corrupted shot datasets and generally improve convergence. The proposed algorithm provides high-quality multi-shot DWI and DTI reconstructions in the presence of gross motion allowing for efficient navigator-free DWI acquisition schemes.
|Publication status||Published - 2020|
|Event||Annual Meeting of the International Society of Magnetic Resonance in Medicine 2020|
- Virtual Conference
Duration: 08.08.2020 → 14.08.2020
|Conference||Annual Meeting of the International Society of Magnetic Resonance in Medicine 2020|
|Period||08.08.20 → 14.08.20|