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Abstract #4977

Spectrally encoded multi-spectral imaging (SEMSI) for off-resonance correction near metal with multi-spin echo and parallel imaging

Xuetong Zhou1,2, Philip K. Lee2,3, Daehyun Yoon2, and Brian A. Hargreaves1,2,3
1Bioengineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Electrical Engineering, Stanford University, Stanford, CA, United States

Synopsis

Metal implants induce severe B0 field inhomogeneities, causing severe distortion near the implant. In this work, we combined multi-echo spin echo and parallel imaging to an approach that uses echo shifting to encode spectral components and resolve the metal-induced artifacts. Phantom and in vivo experiments were conducted and indicated that the proposed method provides comparable artifact reduction and image quality to existing multispectral imaging approaches in comparable scan time.

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