Recent Advances In MRI Technology And Their Impact In The Field Of Radiology
DOI:
https://doi.org/10.70082/yvsj0p03Keywords:
Magnetic Resonance Imaging, MRI technology, high-field MRI, ultra-high-field MRI, AI in MRI, functional MRI, diffusion imaging, MR elastography, quantitative MRI, radiomics, parallel imaging, machine learning, radiology advancements.Abstract
Magnetic Resonance Imaging (MRI) has profoundly transformed medical imaging since its inception, offering non-invasive, high-resolution anatomical and functional insights critical across numerous clinical specialties. Recent advances in MRI hardware including high and ultra-high field systems, gradient technologies, and multi-channel RF coils, coupled with innovations in imaging sequences and AI-driven reconstruction algorithms, have notably enhanced image quality, speed, and diagnostic accuracy. Emerging modalities such as functional MRI, diffusion imaging, and MR elastography extend MRI’s applicability in neurological, oncological, cardiovascular, and musculoskeletal disorders. The integration of AI and machine learning further accelerates acquisition and improves diagnostic workflows, supporting personalized medicine approaches. This review highlights fundamental principles, current technological progress, clinical impact, challenges, and future directions of MRI to guide optimized utilization in clinical practice.
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