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This article delves into the evolution of technical methods and the diverse clinical uses of ^23Na MRI, spotlighting its capacity to serve as a biomarker across neurological, oncological, and musculoskeletal disorders. Advances in scanning hardware, refined pulse sequences, and enhanced image reconstruction have significantly improved image fidelity and quantitative accuracy. Emerging evidence reveals that ^23Na MRI can unveil early biochemical alterations in Alzheimer’s and ALS, identify malignancies in brain and breast tissue, and detect muscle damage—often before these changes appear on traditional imaging .
Nonetheless, sodium imaging continues to face hurdles. Weak signal strength, extended acquisition durations, and lack of standardized protocols across institutions remain major barriers. Strategies such as leveraging ultra-high magnetic fields (≥7 T), adopting compressed sensing, and applying novel reconstruction algorithms (e.g., total variation and anatomy-guided approaches) are helping to shorten scan times and enhance image quality.
Going forward, the integration of artificial intelligence—particularly deep learning for denoising—and the adoption of harmonized, multicenter trial designs are likely to accelerate the clinical translation of sodium MRI technology These developments collectively suggest that ^23Na MRI stands at the threshold of becoming a routine tool for assessing tissue metabolism, cell integrity, and therapeutic response.
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"Innovations and Applications of Sodium (^23Na) Magnetic Resonance Imaging in Clinical Diagnostics", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.a707-a709, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507077.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator