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Published on: January 16, 2021
Unconventional gradient coil designs in magnetic resonance imaging
Minhua Zhu1, Ling Xia1, Feng Liu2
1Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
Innovative magnetic resonance imaging (MRI) gradient coil designs are crucial for advancing medical applications. This review explores unconventional coil systems, including local, reduced peripheral nerve stimulation (PNS), hybrid, and 3D configurations, to enhance MRI technology.
Area of Science:
- Medical Imaging
- Biophysics
- Electrical Engineering
Background:
- Gradient coils are essential for spatial encoding in Magnetic Resonance Imaging (MRI).
- Advancements in MRI techniques necessitate innovative gradient coil designs for new clinical and research applications.
- Existing gradient coil systems face challenges like peripheral nerve stimulation (PNS).
Purpose of the Study:
- To review four unconventional gradient coil designs for MRI.
- To provide insights into the historical development and future potential of gradient coil technology.
- To highlight designs addressing limitations in current MRI systems.
Main Methods:
- Review of chronological development of local gradient coils (head coils).
- Description of various coil configurations designed to reduce peripheral nerve stimulation (PNS).
- Illustration of dedicated gradient coil designs for hybrid imaging systems (e.g., MRI-LINAC).
- Discussion of non-layered, full 3D gradient coil structures.
Main Results:
- Local gradient coils have evolved through distinct developmental stages.
- Several gradient coil designs effectively mitigate PNS issues in both local and whole-body systems.
- Dedicated gradient coil designs are feasible for integrated hybrid medical systems.
- Non-layered 3D coil designs offer alternative structural approaches.
Conclusions:
- Unconventional gradient coil designs are vital for the progression of MRI technology.
- Innovations in gradient coils can expand the capabilities of MRI for diverse medical applications.
- This review provides a foundation for future research and development in MRI gradient systems.
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