CoilCombine[sig]
combines the coil signals sig. Where sig is {nCoils,...}.
CoilCombine[sig,cov]
combines the coil signals sig. Where sig is {nCoils, ...} and cov the complex noise correlation matrix.
CoilCombine[sig,cov,sens]
combines the coil signals sig. Where sig is {nCoils, ...} and cov the complex noise correlation matrix and sense the coils sensItivity. Possible coil combination methods are "Sum", "RootSumSquares", "RoemerEqualNoise", "RoemerEqualSignal", "WSVD". RootSumSquares needs the signal. Can be performed with and without the noise covariance matrix RoemerEqualNoise needs the signal and the noise covariance matrix. Can be performed with and without the sense data, without sense data the sensItivity is estimated using the signal and the RSS reconstruction of the signal. RoemerEqualSignal needs the signal and the noise covariance matrix and the sense data. WSVD needs the signal and the noise covariance matrix.
CoilCombine
CoilCombine[sig]
combines the coil signals sig. Where sig is {nCoils,...}.
CoilCombine[sig,cov]
combines the coil signals sig. Where sig is {nCoils, ...} and cov the complex noise correlation matrix.
CoilCombine[sig,cov,sens]
combines the coil signals sig. Where sig is {nCoils, ...} and cov the complex noise correlation matrix and sense the coils sensItivity. Possible coil combination methods are "Sum", "RootSumSquares", "RoemerEqualNoise", "RoemerEqualSignal", "WSVD". RootSumSquares needs the signal. Can be performed with and without the noise covariance matrix RoemerEqualNoise needs the signal and the noise covariance matrix. Can be performed with and without the sense data, without sense data the sensItivity is estimated using the signal and the RSS reconstruction of the signal. RoemerEqualSignal needs the signal and the noise covariance matrix and the sense data. WSVD needs the signal and the noise covariance matrix.
Details
- The following options can be given:
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Method "RoemerEqualNoise" Method is an option for various algorithm-intensive functions that specifies what internal methods they should use. SenseSmoothing True SenseSmoothing is an option for MakeSense. If set True the data and sense maps are smoothed using hamming filters. NoisePrewhiten False NoisePrewhiten is an option for CoilWeightedReconCSI. Specifies if noise pre whitening is done for Roemer.