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Abstract #1142

Accelerated T2-weighted imaging of water, fat and silicone with joint reconstruction and species separation.

Aizada Nurdinova1, Xuetong Zhou2, Julio Oscanoa2, Daniel Rizz Abraham3, Bruce L. Daniel2,4, Kawin Setsompop2,3,4, and Brian A. Hargreaves2,3,4
1Biomedical Physics, Stanford, Stanford, CA, United States, 2Bioengineering, Stanford, Stanford, CA, United States, 3Electrical Engineering, Stanford, Stanford, CA, United States, 4Radiology, Stanford, Stanford, CA, United States

Synopsis

Keywords: Parallel Imaging, Sparse & Low-Rank Models, Compressed-sensing, Fat-Water-Silicone separation, T2-weighted imaging

Motivation: T2-weighted imaging of patients with breast silicone implants can be prolonged due to the need to encode multiple echoes for separating three chemical species, while obtaining sufficient T2-weighting and limiting T2*-blur.

Goal(s): This work explores joint regularized reconstruction and species separation method to better exploit ky-TE undersampling in a multiecho acquisition.

Approach: The joint formulation allows for temporal data coupling and compressed-sensing-like regularization on separated species.

Results: The joint method improves water imaging compared to the two-stage approach, and retrospective undersampling experiments show combining it with incoherent ky-TE sampling allows for higher acquisition accelerations.

Impact: WFS-separated T2-weighted imaging with multi-gradient-echo acquisition can be accelerated ~1.5x by solving jointly for parallel imaging and species separation and incoherently undersampling in the ky-TE domain.

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Keywords