Ultra-Low-Field Brain MRI for Point-of-Care Applications: A Technology Review

Area of Science:

• Medical Imaging
• Neuroscience
• Biomedical Engineering

Background:

• Conventional high-field magnetic resonance imaging (MRI) is crucial for neurological diagnostics but limited by high costs and infrastructure needs.
• This confines advanced imaging to specialized centers, necessitating less sensitive methods like computed tomography or ultrasound at the point-of-care.
• Ultra-low-field (ULF) MRI offers a potential solution for accessible neurological imaging.

Purpose of the Study:

• To review recent advancements in ultra-low-field (ULF) brain MRI technology.
• To highlight the potential of ULF MRI for point-of-care neurological diagnostics.
• To identify future development areas for improving ULF MRI performance.

Main Methods:

• Review of recent engineering and computing advancements in ULF MRI systems.
• Analysis of ULF MRI's capability for open-environment imaging.
• Evaluation of initial clinical applications in point-of-care settings.

Main Results:

• Compact and simplified ULF MRI scanners are emerging, enabled by technological progress.
• ULF MRI demonstrates initial clinical applicability in point-of-care neurological assessments.
• Open-environment imaging is feasible with ULF MRI systems.

Conclusions:

• ULF MRI presents a promising avenue for expanding access to neurological imaging.
• Further development in hardware, imaging protocols, and data analysis is needed to overcome current limitations in image quality and contrast.
• ULF MRI has the potential to significantly impact neurological care delivery at the point-of-care.