Triad: Vision Foundation Model for 3D Magnetic Resonance Imaging

Understand

Vision foundation models (VFMs) are pre-trained on extensive image datasets to learn general representations for diverse types of data.

• These models can subsequently be fine-tuned for specific downstream tasks, significantly boosting performance across a broad range of applications.
• However, existing vision foundation models that claim to be applicable to various clinical tasks are mostly pre-trained on 3D computed tomography (CT), which benefits from the availability of extensive 3D CT databases.
• Significant differences between CT and magnetic resonance imaging (MRI) in imaging principles, signal characteristics, and data distribution may hinder their practical performance and versatility in MRI-specific applications.