Keywords: AI/ML Image Reconstruction, Blood vessels, 7T MRI; MRI synthesis; Contrast-enhanced T1WI
Motivation: The application of 7T contrast-enhanced (CE) MRI in cerebral vascular imaging offers superior spatial resolution, enabling enhanced visualization of intricate brain plaques. Nonetheless, the administration of contrast agents imposes a certain economic and health burden on patients.
Goal(s): To develop the Attention-Guided Pix2Pix GAN method for synthesizing 7T CE-T1WI images from 7T pre-contrast T1WI, aiming at evaluating cerebral vascular plaque.
Approach: The performance of synthetic 7T CE-T1WI image was compared to real 7T CE-T1WI image.
Results: Attention-Guided Pix2Pix GAN successfully synthesizes high-quality 7T CE-T1WI images from 7T pre-contrast T1WI data, which was comparable to real 7T CE-T1WI image.
Impact: The model we proposed can generate high-quality 7T magnetic resonance cerebrovascular enhancement images, which makes it possible to diagnose cerebral vessels without the use of contrast agents.
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