Keywords: Low-Field MRI, Brain, Segmentations, Biomarkers, Neurodegeneration, Screening, Low-field
Motivation: Mid-field MRI (0.1-1T) presents an accessible option to clinical brain imaging. Thus, it’s essential to determine the measurability of brain tissue volumes at this field strength.
Goal(s): This study examines the reliability of tissue segmentation and volume estimations of conventional segmentation methods at 0.6T compared to 1.5T.
Approach: T1-weighted scans and re-scans were acquired at 0.6T and 1.5T, these images were reconstructed with both compressed sense and AI. All images were segmented, and these results were analyzed for consistency across conditions.
Results: While 0.6T images allowed consistent segmentation, further refinement with advanced approaches, such as deep learning, may enhance accuracy in volume estimation.
Impact: This study confirms that mid-field MRI (0.6T) T1-weighted images can be used for white and gray matter segmentation with reproducible volume measures. These findings may enable longitudinal monitoring of brain volume and inspire future research into improved segmentations.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords