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A review on potential issues and challenges in MR imaging.
Srinivasan Kathiravan1, Jagannathan Kanakaraj1
1PSG College of Technology, Peelamedu, Coimbatore 641 004, India.
Thescientificworldjournal
|January 2, 2014
Summary
Ultra-high field strength Magnetic Resonance Imaging (MRI) systems offer superior soft tissue contrast and resolution. This overview details MRI subsystems, challenges, and artifacts, crucial for advanced medical imaging.
Area of Science:
- Medical Imaging
- Biophysics
- Engineering
Background:
- Magnetic Resonance Imaging (MRI) is a noninvasive diagnostic technique renowned for its exceptional soft tissue contrast.
- Recent advancements in ultra-high field strengths (≥7 Tesla) have significantly enhanced MRI signal-to-noise ratio and image resolution.
Purpose of the Study:
- To provide a comprehensive overview of Magnetic Resonance Imaging (MRI) systems, focusing on ultra-high field strengths.
- To detail the various subsystems, associated challenges, and limitations within advanced MRI technology.
- To highlight common artifacts and processing challenges in MRI.
Main Methods:
- Review of Magnetic Resonance Imaging (MRI) system components, including magnet, gradient, and radiofrequency (RF) subsystems.
- Discussion of data processing concepts and associated challenges in MRI.
- Identification and explanation of artifacts encountered in MRI.
Main Results:
- Ultra-high field MRI systems (≥7 Tesla) provide improved image quality through higher signal-to-noise and resolution.
- Detailed examination of magnet, gradient, RF coils, transceiver, and data processing subsystems.
- Identification of specific challenges and artifacts inherent to advanced MRI technology.
Conclusions:
- Advanced MRI systems, particularly at ultra-high fields, offer significant improvements in diagnostic imaging.
- Understanding the intricacies of MRI subsystems, data processing, and potential artifacts is vital for effective utilization.
- Continued research into overcoming MRI limitations is essential for future advancements in medical diagnostics.
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