Deep Learning-Based 3D-T1 SPACE Vessel Wall MRI Reconstruction Using Deep Resolve Gain for Enhanced Image Quality

Motivation: This study aims to enhance vessel wall MRI imaging to achieve improved diagnostic precision in vascular disease, addressing current limitations in noise reduction that affect image clarity. Goal(s): To evaluate the efficacy of Deep Resolve Gain (DRG)-based denoising in improving signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in 3D T1 SPACE MRI. Approach: A clinical study was conducted with 60 patients, comparing DRG-denoised 3D T1 SPACE MRI images with conventional images, focusing on image quality at both lesion and normal sites. Results: DRG-denoised images demonstrated improvement in SNR, CNR, and vessel wall delineation, indicating the potential of DRG to enhance diagnostic accuracy. Impact: DRG-denoised 3D T1 SPACE MRI enhances vessel wall imaging precision, enabling earlier and more accurate detection of vascular diseases. This advancement supports clinicians in identifying high-risk vascular features, improving diagnostic accuracy and facilitating timely appropriate treatment for the respective patient.