High Resolution Intracranial MR Angiography at 3T and 7T using a Deep Learning based Image Reconstruction

Ultra-high-field MRA shows the promise to improve visualize the microvasculature and become an important investigation tool for research. However, increasing the consistency in image quality and reliability of small vessel visualization is necessary to demonstrate useful MR applications in clinical practice. We developed a deep learning-based reconstruction method to provide reduced noise and enhanced spatial resolution. The technique was evaluated by applying it to 3DTOF MRA data at 3T and 7T, demonstrating improved small vessel depiction.