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10.1002/mrm.25168 http://scihub22266oqcxt.onion/10.1002/mrm.25168 C4051394!4051394!24496655     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Magn+Reson+Med 2014 ; 71 (4): 1349-57 Nephropedia Template TP {{tp|p=24496655|t=2014. A Subspace Approach to High-Resolution Spectroscopic Imaging |pdf=|usr=}}{{24496655}} gab.com Text A Subspace Approach to High-Resolution Spectroscopic Imaging JO: Magn Reson Med http://www.kidney.de/pget.php?&tw=1&pmid=24496655 #FOAvip Purpose: To accelerate spectroscopic imaging using sparse sampling of (k, t)-space and subspace (or low-rank) modeling to enable high-resolution metabolic imaging with good signal-to-noise ratio (SNR). Methods: The proposed method, called SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation), exploits a unique property known as partial separability of spectroscopic signals. This property indicates that high-dimensional spectroscopic signals reside in a very low-dimensional subspace and enables special data acquisition and image reconstruction strategies to be used to obtain high-resolution spatiospectral distributions with good SNR. More specifically, a hybrid CSI/EPSI pulse sequence is proposed for sparse sampling of (k, t)-space, and a low-rank model-based algorithm is proposed for subspace estimation and image reconstruction from sparse data with the capability to incorporate prior information and field inhomogeneity correction. Results: The performance of SPICE has been evaluated using both computer simulations and phantom studies, which produced very encouraging results. For 2D spectroscopic imaging experiments on a metabolite phantom, a factor of 10 acceleration was achieved with a minimal loss in SNR compared to the long CSI experiments and with a significant gain in SNR compared to the accelerated EPSI experiments. Conclusion: SPICE is able to significantly accelerate spectroscopic imaging experiments, making high-resolution metabolic imaging possible. Twit Text FOAVip A Subspace Approach to High-Resolution Spectroscopic Imaging ????Magn Reson Med http://www.kidney.de/pget.php?&tw=1&pmid=24496655 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=24496655 #FOAvip English Wikipedia <ref>{{Cite pmid|24496655}}</ref> A Subspace Approach to High-Resolution Spectroscopic Imaging #MMPMID24496655 Lam F; Liang ZP Magn Reson Med 2014[Apr]; 71 (4): 1349-57 PMID24496655show ga Purpose: To accelerate spectroscopic imaging using sparse sampling of (k, t)-space and subspace (or low-rank) modeling to enable high-resolution metabolic imaging with good signal-to-noise ratio (SNR). Methods: The proposed method, called SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation), exploits a unique property known as partial separability of spectroscopic signals. This property indicates that high-dimensional spectroscopic signals reside in a very low-dimensional subspace and enables special data acquisition and image reconstruction strategies to be used to obtain high-resolution spatiospectral distributions with good SNR. More specifically, a hybrid CSI/EPSI pulse sequence is proposed for sparse sampling of (k, t)-space, and a low-rank model-based algorithm is proposed for subspace estimation and image reconstruction from sparse data with the capability to incorporate prior information and field inhomogeneity correction. Results: The performance of SPICE has been evaluated using both computer simulations and phantom studies, which produced very encouraging results. For 2D spectroscopic imaging experiments on a metabolite phantom, a factor of 10 acceleration was achieved with a minimal loss in SNR compared to the long CSI experiments and with a significant gain in SNR compared to the accelerated EPSI experiments. Conclusion: SPICE is able to significantly accelerate spectroscopic imaging experiments, making high-resolution metabolic imaging possible. äA Subspace Approach to High-Resolution Spectroscopic Imaging (epmc).pdf DeepDyve Pubget Overpricing