Truncation artifact reduction in spectroscopic imaging using a dual-density spiral k-space trajectory |
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Authors: | Sarkar Shantanu Heberlein Keith Hu Xiaoping |
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Institution: | a The Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech/Emory University, Atlanta, Georgia 30322, USA |
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Abstract: | Truncation artifacts arise in magnetic resonance spectroscopic imaging (MRSI) of the human brain due to limited coverage of k-space necessitated by low SNR of metabolite signal and limited scanning time. In proton MRSI of the head, intense extra-cranial lipid signals “bleed” into brain regions, thereby contaminating signals of metabolites therein. This work presents a data acquisition strategy for reducing truncation artifact based on extended k-space coverage achieved with a dual-SNR strategy. Using the fact that the SNR in k-space increases monotonically with sampling density, dual-SNR is achieved in an efficient manner with a dual-density spiral k-space trajectory that permits a smooth transition from high density to low density. The technique is demonstrated to be effective in reducing “bleeding” of extra-cranial lipid signals while preserving the SNR of metabolites in the brain. |
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Keywords: | MRI Spectroscopic imaging Spiral imaging Truncation artifact reduction Selective reconstruction |
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