Estimating Sensitivity Maps for X-Nuclei Magnetic Resonance Spectroscopic Imaging
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866911076080156672 |
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| author | Dwork, Nicholas Gordon, Jeremy W. Tang, Shuyu Larson, Peder E. Z. |
| author_facet | Dwork, Nicholas Gordon, Jeremy W. Tang, Shuyu Larson, Peder E. Z. |
| contents | The purpose of this research is to estimate sensitivity maps when imaging X-nuclei that may not have a significant presence throughout the field of view. We propose to estimate the coil's sensitivities by solving a least-squares problem where each row corresponds to an individual estimate of the sensitivity for a given voxel. Multiple estimates come from the multiple bins of the spectrum with spectroscopy, multiple times with dynamic imaging, or multiple frequencies when utilizing spectral excitation. The method presented in this manuscript, called the L2 optimal method, is compared to the commonly used RefPeak method which uses the spectral bin with the highest energy to estimate the sensitivity maps. The L2 optimal method yields more accurate sensitivity maps when imaging a numerical phantom and is shown to yield a higher signal-to-noise ratio when imaging the brain, pancreas, and heart with hyperpolarized pyruvate as the contrast agent with hyperpolarized MRI. The L2 optimal method is able to better estimate the sensitivity by extracting more information from the measurements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_18850 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Estimating Sensitivity Maps for X-Nuclei Magnetic Resonance Spectroscopic Imaging Dwork, Nicholas Gordon, Jeremy W. Tang, Shuyu Larson, Peder E. Z. Image and Video Processing Medical Physics Quantitative Methods The purpose of this research is to estimate sensitivity maps when imaging X-nuclei that may not have a significant presence throughout the field of view. We propose to estimate the coil's sensitivities by solving a least-squares problem where each row corresponds to an individual estimate of the sensitivity for a given voxel. Multiple estimates come from the multiple bins of the spectrum with spectroscopy, multiple times with dynamic imaging, or multiple frequencies when utilizing spectral excitation. The method presented in this manuscript, called the L2 optimal method, is compared to the commonly used RefPeak method which uses the spectral bin with the highest energy to estimate the sensitivity maps. The L2 optimal method yields more accurate sensitivity maps when imaging a numerical phantom and is shown to yield a higher signal-to-noise ratio when imaging the brain, pancreas, and heart with hyperpolarized pyruvate as the contrast agent with hyperpolarized MRI. The L2 optimal method is able to better estimate the sensitivity by extracting more information from the measurements. |
| title | Estimating Sensitivity Maps for X-Nuclei Magnetic Resonance Spectroscopic Imaging |
| topic | Image and Video Processing Medical Physics Quantitative Methods |
| url | https://arxiv.org/abs/2507.18850 |