Applications, limitations and advancements of ultra-low-field magnetic resonance imaging: A scoping review

Author:

Altaf Ahmed1,Shakir Muhammad1,Irshad Hammad Atif2,Atif Shiza2,Kumari Usha3,Islam Omar4,Kimberly W. Taylor5,Knopp Edmond6,Truwit Chip6,Siddiqui Khan6,Enam S. Ather1

Affiliation:

1. Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Sindh, Pakistan

2. Medical College, Aga Khan University Hospital, Karachi, Sindh, Pakistan

3. Medical College, Peoples University of Medical and Health Sciences for Women, Karachi, Sindh, Pakistan

4. Department of Diagnostic Radiology, Queen’s University, Kingston General Hospital, Kingston, Canada

5. Department of Neurology, Massachusetts General Hospital, Boston, United States

6. Hyperfine, Inc., Guilford, United States.

Abstract

Background: Ultra-low-field magnetic resonance imaging (ULF-MRI) has emerged as an alternative with several portable clinical applications. This review aims to comprehensively explore its applications, potential limitations, technological advancements, and expert recommendations. Methods: A review of the literature was conducted across medical databases to identify relevant studies. Articles on clinical usage of ULF-MRI were included, and data regarding applications, limitations, and advancements were extracted. A total of 25 articles were included for qualitative analysis. Results: The review reveals ULF-MRI efficacy in intensive care settings and intraoperatively. Technological strides are evident through innovative reconstruction techniques and integration with machine learning approaches. Additional advantages include features such as portability, cost-effectiveness, reduced power requirements, and improved patient comfort. However, alongside these strengths, certain limitations of ULF-MRI were identified, including low signal-to-noise ratio, limited resolution and length of scanning sequences, as well as variety and absence of regulatory-approved contrast-enhanced imaging. Recommendations from experts emphasize optimizing imaging quality, including addressing signal-to-noise ratio (SNR) and resolution, decreasing the length of scan time, and expanding point-of-care magnetic resonance imaging availability. Conclusion: This review summarizes the potential of ULF-MRI. The technology’s adaptability in intensive care unit settings and its diverse clinical and surgical applications, while accounting for SNR and resolution limitations, highlight its significance, especially in resource-limited settings. Technological advancements, alongside expert recommendations, pave the way for refining and expanding ULF-MRI’s utility. However, adequate training is crucial for widespread utilization.

Publisher

Scientific Scholar

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