Multi-Exponential Relaxometry Using $\ell_{{1}}$ -Regularized Iterative NNLS (MERLIN) With Application to Myelin Water Fraction Imaging

IEEE TRANSACTIONS ON MEDICAL IMAGING(2019)

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摘要
A new parameter estimation algorithm, MERLIN, is presented for accurate and robust multiexponential relaxometry using magnetic resonance imaging, a tool that can provide valuable insight into the tissue microstructure of the brain. Multi-exponential relaxometry is used to analyze the myelin water fraction and can help to detect related diseases. However, the underlying problem is ill-conditioned, ...
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关键词
Neuroscience,Magnetic resonance imaging,Signal to noise ratio,Noise reduction,Microstructure,In vivo,Artificial neural networks
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