low-rank approximation Archives - IEEE Transactions on Biomedical Engineering (TBME)

March 26, 2016

Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and B0 Field Inhomogeneity

Author(s)3: Yan Liu, Chao Ma, Bryan A. Clifford, Fan Lam, Curtis L. Johnson, Zhi-Pei Liang

Improved Low-Rank Filtering of Magnetic Resonance Spectroscopic Imaging Data Corrupted by Noise and B0 Field Inhomogeneity https://www.embs.org/tbme/wp-content/uploads/sites/19/2016/03/image0022.gif 170 177 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png March 26, 2016 March 4, 2022

Magnetic resonance spectroscopic imaging (MRSI) is a unique tool for molecular imaging without exogenous contrast agents. For example, MRSI allows for mapping many brain metabolites, such as N-acetylaspartate, Choline, and…

December 17, 2012

Denoising MR Spectroscopic Imaging Data with Low-Rank Approximations

Denoising MR Spectroscopic Imaging Data with Low-Rank Approximations https://www.embs.org/tbme/wp-content/themes/movedo/images/empty/thumbnail.jpg 150 150 IEEE Transactions on Biomedical Engineering (TBME) IEEE Transactions on Biomedical Engineering (TBME) //www.embs.org/tbme/wp-content/uploads/sites/19/2022/06/ieee-tbme-logo2x.png December 17, 2012 March 4, 2022

Hien Nguyen, Xi Peng, Minh Do, Zhi-Pei Liang Volume: 60, Issue:1, Part 1, Pages: 78-89, Abstract Publication Year: 2013 MR spectroscopic imaging (MRSI) is a unique, powerful modality for non-invasive metabolic…