Synthetic Contrasts in Musculoskeletal MRI
Tom Hilbert, Patrick Omoumi, Marcus Raudner, Tobias Kober
Abstract
ABSTRACT: This review summarizes the existing techniques and methods used to generate synthetic contrasts from magnetic resonance imaging data focusing on musculoskeletal magnetic resonance imaging. To that end, the different approaches were categorized into 3 different methodological groups: mathematical image transformation, physics-based, and data-driven approaches. Each group is characterized, followed by examples and a brief overview of their clinical validation, if present. Finally, we will discuss the advantages, disadvantages, and caveats of synthetic contrasts, focusing on the preservation of image information, validation, and aspects of the clinical workflow.
Topics & Concepts
WorkflowMagnetic resonance imagingComputer scienceTransformation (genetics)Medical physicsData scienceArtificial intelligenceData miningRadiologyMedicineGeneChemistryBiochemistryDatabaseAdvanced MRI Techniques and ApplicationsMedical Imaging Techniques and ApplicationsMRI in cancer diagnosis