No-reference magnetic resonance image quality assessment via local-global feature integration

Key Points

• Enhanced image quality assessment is achieved using local and global feature integration techniques, improving MRI evaluation.
• Image quality metrics significantly increased, measuring higher accuracy compared to previous methods with 85% accuracy at 500 images.
• Evaluation utilizes a novel approach integrating local and global features for no-reference quality assessment in MRI.
• This method may lead to better diagnostic tools in clinical settings, enhancing treatment planning and patient care.