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Abstract #7950

Artifact to Information using Structured Low Rank Matrix Completion

Jong Chul Ye1

1Dept. Bio/Brain Engineering, KAIST, Daejeon, Korea, Republic of

MRI artifacts arise from various sources, including instability of an MR system, patient movement, inhomogeneities of gradient fields, etc. Such MRI artifacts are generally considered as irreversible so that additional artifact-free scan or navigator scan is required. To overcome these limitations, this paper discusses the physical origin of various MR artifacts and novel compressed sensing-based approaches for removing these MRI artifacts.

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