Artefact Reduction with Machine Learning

摘要

Learning Objectives: To provide an overview of state-of-the-art machine learning and deep learning methods for artefact reduction in MRI. To demonstrate the application of learning methods for artefact localization, quantification, quality assurance and assessment, restoration and correction.