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Abstract #2343

SENSE-based multipeak water/fat separation for diffusion-weighted imaging using self-navigated interleaved EPI

Yiming Dong1, Kirsten Koolstra2, Malte Riedel3, Matthias J.P. van Osch1, and Peter Börnert1,4
1C.J. Gorter Center for High Field MRI, Department of Radiology, LUMC, Leiden, Netherlands, 2Division of Image Processing, Department of Radiology, LUMC, Leiden, Netherlands, 3University and ETH Zurich, Zurich, Switzerland, 4Philips Research, Hamburg, Germany


The presence of fat signals is one challenge for diffusion-weighted EPI, especially when considering the multi-peak spectrum nature of fat. In this work, we propose an improved SENSE-based water/fat separation algorithm to suppress multi-peak fat signals and apply this specifically to diffusion-weighted multi-shot EPI. The motion-induced shot-to-shot phase variations, an inevitable challenge in multi-shot DWI, are incorporated into the signal model using either a self-navigation or an extra-navigated method. The results show that the proposed SENSE-based algorithm yields good water/fat separation for non-diffusion and diffusion data with a multi-peak fat spectrum model.

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