Low-Field Neuroimaging: Opportunities and Limitations.

Area of Science:

• Medical Imaging
• Radiology
• Biomedical Engineering

Background:

• High-field magnetic resonance imaging (MRI) has traditionally dominated diagnostic neuroimaging.
• Recent technological advancements are driving renewed interest in low-field MRI systems (under 1 Tesla).

Purpose of the Study:

• To review the advancements, applications, and challenges of modern low-field MRI.
• To assess the potential of low-field MRI in various clinical settings.

Main Methods:

• Review of recent technological improvements in low-field MRI system design and performance.
• Discussion of AI-assisted reconstruction techniques for enhancing image quality.
• Analysis of clinical applications and benefits of low-field MRI.

Main Results:

• Low-field MRI systems offer enhanced accessibility, affordability, and versatility.
• AI-assisted reconstruction enables diagnostic-quality neuroimaging at low field strengths.
• Advantages include improved patient comfort, siting flexibility, portability, and reduced safety constraints.
• Low-field MRI shows promise in diverse settings, including point-of-care and intraoperative neuroimaging.
• Challenges like lower signal-to-noise ratio (SNR) and spatial resolution are being addressed by AI and optimized techniques.

Conclusions:

• Low-field MRI is emerging as a valuable, versatile tool for neurological imaging, complementing high-field systems.
• While not replacing high-field MRI, low-field applications offer significant benefits in specific clinical scenarios.
• Continued advancements in AI and hardware promise to further expand the utility of low-field MRI.