We propose a novel method to improve GRAPPA reconstruction when blood vessel pulsation artifacts appear. It removes the artifacts in the ACS lines, and boosts the SNR of GRAPPA reconstruction. Volunteer study confirmed that the proposed method improved image quality of GRAPPA reconstruction in 3T FSE knee scan.
Parallel imaging methods such as GRAPPA and SENSE [2] utilize coil sensitivity information either implicitly or explicitly. If the coil sensitivity map is corrupted by artifacts, the reconstructed image will be degraded. Since ACS lines contain coil sensitivity information used in GRAPPA reconstruction, pulsation artifacts in ACS lines leads to sub-optimal GRAPPA reconstruction.
Our study focused on GRAPPA reconstructed FSE image of knee. Since the blood vessel pulsation is problematic, two saturation bands were placed above and below the region of interest. In our scenario, blood vessel pulsation caused high signal in the saturated region and distorted the sensitivity map, see Fig 1a. A degraded sensitivity map may cause noise amplification due to the unfolding process of GRAPPA reconstruction. A novel solution was proposed to remove the blood vessel pulsation artifacts of ACS lines in the saturated region in image space by applying a spatial mask. More specifically, it has five steps: 1) Zero-padding ACS lines to the size of full k-space; 2) transform ACS lines into image space; 3) mask out signal in the saturated region, see Fig 1b; 4) transform back to k-space; 5) remove all zero-padded k-space lines. Since the proposed method removes pulsation artifacts of ACS lines in saturation bands, we expect the GRAPPA reconstruction quality will be improved.
Two
healthy volunteers underwent FSE knee scan on a 3.0T uMR 750 MR system (United
Imaging Healthcare, Shanghai, China). Imaging parameters were: matrix 384 x
384, phase resolution 80%, 32 slices, band width: 200Hz/pixel, FOV: 150mm x
150mm, TR: 2000 ms, TE: 36.8 ms, slice thickness: 3.5 mm, flip angle: 150
degree. Images were reconstructed off-line and reviewed by a radiologist.
We found that the blood vessel pulsation artifacts in ACS lines cause excessive noise in GRAPPA reconstruction. A novel method was proposed to suppress the artifacts in ACS lines. Volunteer studies show that it improves the image SNR and the image quality significantly. The proposed method is a straight-forward way to clean contaminated k-space ACS lines / training data used in k-space parallel imaging techniques. It applies to the scenario that MR signal in part of FOV is nulled, e.g. due to saturation band or low proton density. Other Reconstruction methods such as SPIRiT [3] may also benefit from this method when the training data is contaminated by artifacts.
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