Enhancing Radiological Diagnosis: A Comprehensive Review of Image Quality Assessment and Optimization Strategies
Albert P Varghese, S. R. Naik, Syed Asrar Up Haq Andrabi, Anurag Luharia, Suhas Tivaskar
Abstract
Image quality plays a pivotal role in the accurate diagnosis and effective management of diseases in radiology. This review explores the principles, methodologies, and strategies for assessing and optimizing image quality across various imaging modalities, including X-ray, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, and nuclear medicine. We discuss key factors influencing image quality, such as spatial resolution, noise, contrast, and artifacts, and highlight techniques for quality assurance, image optimization, and dose reduction in clinical practice.
Topics & Concepts
MedicineRadiological weaponMedical physicsImage qualityQuality (philosophy)RadiologyArtificial intelligenceImage (mathematics)Computer sciencePhilosophyEpistemologyRadiomics and Machine Learning in Medical ImagingAdvanced X-ray and CT ImagingMedical Imaging and Analysis