Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and $B_0$ Field Inhomogeneity

IEEE Transactions on Biomedical Engineering(2016)

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摘要
Goal: To improve the signal-to-noise ratio (SNR) of magnetic resonance spectroscopic imaging (MRSI) data. Methods: A low-rank filtering method recently proposed for denoising MRSI data is extended by: 1) incorporating tissue boundary constraints to enable local low-rank filtering, and 2) integrating B0 field inhomogeneity correction by rank-minimization to make the low-rank model more effective. R...
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关键词
Noise reduction,Nonhomogeneous media,Signal to noise ratio,Data models,Approximation methods,Phantoms
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