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. RESULTS: The proposed method was validated using both simulated and in vivo MRSI data. Its denoising performance is also compared with an upper bound based on the constrained Cramér-Rao lower bound for low-rank filtering. CONCLUSION: Low-rank filtering can effectively improve the SNR of MRSI data corrupted by both noise and B0 field inhomogeneity. SIGNIFICANCE: The proposed low-rank filtering method will enhance the practical utility of high-resolution MRSI, where SNR has been a limiting factor.
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. RESULTS: The proposed method was validated using both simulated and in vivo MRSI data. Its denoising performance is also compared with an upper bound based on the constrained Cramér-Rao lower bound for low-rank filtering. CONCLUSION: Low-rank filtering can effectively improve the SNR of MRSI data corrupted by both noise and B0 field inhomogeneity. SIGNIFICANCE: The proposed low-rank filtering method will enhance the practical utility of high-resolution MRSI, where SNR has been a limiting factor.
Authors: Hsin-Yu Chen; Adam W Autry; Jeffrey R Brender; Shun Kishimoto; Murali C Krishna; Maryam Vareth; Robert A Bok; Galen D Reed; Lucas Carvajal; Jeremy W Gordon; Mark van Criekinge; David E Korenchan; Albert P Chen; Duan Xu; Yan Li; Susan M Chang; John Kurhanewicz; Peder E Z Larson; Daniel B Vigneron Journal: Magn Reson Med Date: 2020-06-05 Impact factor: 4.668
Authors: Andrew A Maudsley; Ovidiu C Andronesi; Peter B Barker; Alberto Bizzi; Wolfgang Bogner; Anke Henning; Sarah J Nelson; Stefan Posse; Dikoma C Shungu; Brian J Soher Journal: NMR Biomed Date: 2020-04-29 Impact factor: 4.044