Yoojin Lee1, Franz Patzig1, and Klaas P. Pruessmann1
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zürich, Switzerland
1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zürich, Switzerland
This
work studies the feasibility of highly segmented diffusion imaging with spiral
acquisition and MUSE reconstruction. To stabilize reconstruction, we explore
the utility of joint optimization of phase biases and image content.
Figure 2. Multi-shot
DWI with 16-fold segmentation reconstructed using the proposed joint estimation
approach. The shot-to-shot phase variations ($$$\phi_{vp}$$$)
were initialized with the low-pass filtered phase images of individual shots
(bottom left). The object (O) was
initialized with the MUSE-reconstructed image (top left). The diffusion
contrast similar to the DWI with lower segmentations (top row of Fig. 1) was
recovered in the final image (right column).
Figure 1. DWIs (b=1000s/mm2) with varying number of
shots (ns) reconstructed using the MUSE method. Overall, the MUSE
approach provided high-quality images. However, less diffusion contrast was
observed for higher segmentations (blue vs. red arrows).
