Time-of-flight (TOF) sequence is a non-contrast enhancing blood vessel imaging technique critical for vessel wall analysis. However, the periodical pulsation in the vessels, especially arteries, often causes pulsatile artifact along the phase encoding direction in the image. This degrades image quality and brings difficulty for diagnosis. The purpose of this work is to develop a convolutional neural network (CNN) method to reduce the pulsatile artefact in TOF sequence.
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