应用无线谐振器阵列置入改善颅内动脉硬化狭窄MRI。

IF 2 4区医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Magnetic resonance imaging Pub Date : 2025-08-13 DOI:10.1016/j.mri.2025.110497

Qiang Zhang , Haoqin Zhu , Kai Wang , Ruilin Wang , Ming Lu , Xiangcheng Hao , Jinlong He , Zehua Wang , Xinqiang Yan , Yang Gao

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引用次数: 0

摘要

本研究探讨了使用无线谐振器插入头颈线圈增强颈动脉成像的效果。一组被诊断为颈动脉斑块的患者使用西门子头颈线圈和无线谐振器植入物进行MRI扫描。结果显示，与传统的有线连接相比，在图像质量、分辨率和动脉粥样硬化斑块检测能力方面有显著改善。无线设置最大限度地减少成像过程中的干扰和伪影，促进更平滑，更可靠的扫描。这些发现强调了无线线圈技术在推进MRI成像和改善颈动脉相关疾病的临床诊断和治疗方面的潜力。为了使这种创新方法的效益最大化，需要进一步研究和优化成像方案。

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Improving intracranial arteriosclerosic stenosis MRI using wireless resonator array inserts

This study investigated the efficacy of using wireless resonator inserts in conjunction with head and neck coils to enhance carotid artery imaging. A group of patients diagnosed with carotid plaque underwent MRI scans using a Siemens head and neck coil and wireless resonator insert. The results showed significant improvements in image quality, resolution and atherosclerotic plaque detection capabilities compared to traditional wired connections. The wireless setup minimizes interference and artifacts during imaging, promoting smoother, more reliable scanning. These findings highlight the potential of wireless coil technology to advance MRI imaging and improve clinical diagnosis and treatment of carotid artery-related diseases. Further research and optimization of the imaging protocol is required to maximize the benefits of this innovative approach.

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来源期刊

Magnetic resonance imaging 医学-核医学

CiteScore

4.70

自引率

4.00%

发文量

194

审稿时长

83 days

期刊介绍： Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.