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Abstract #5148

Comparative Assessment of Deep Learning (DL) for Femoral Cartilage Thickness in Healthy Controls: A Study on 0.55T vs 3.0T MRI Scanners.

Vahid Ravanfar1, Emma Bahroos1, Rupsa Bhattacharjee1, and Sharmila Majumdar1
1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

Synopsis

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Motivation: Prior knee osteoarthritis studies favor high-field (3.0T) over mid-field (0.55T) MRI. Motivation is explore sustainable, economical, low-footprint 0.55T alternative.

Goal(s): To address the research gap, this study aims to compare cartilage thickness measurements in healthy controls between 0.55T and 3.0T MRI scanners, shedding light on the viability of mid-field imaging for assessing this vital biomarker.

Approach: Employing a cross-sectional design, this research utilizes both 0.55T and 3.0T scanners to gather comparative data on cartilage thickness in healthy subjects.

Results: Anticipated findings will contribute insights into the potential of mid-field MRI for accurate cartilage assessment, informing future imaging practices in knee osteoarthritis research.

Impact: This project's focus on mid-field MRI scanners may revolutionize knee osteoarthritis research, providing a cost-effective alternative, broadening accessibility, and potentially improving early diagnosis and treatment outcomes for patients.

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