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A compressible high-sensitivity flexible sensor array for real-time motion artifact detection in magnetic resonance imaging

  • Chenhui Xu
  • , Gang Peng
  • , Yiran Hu
  • , Yongyang Chen
  • , Yong Xu
  • , Xiaoqing Huo
  • , Jizhong Deng
  • , Jiajia Zheng
  • , Yiming Chen
  • , Zhiwei Zhang*
  • , Li Tao
  • , Zhiyi Wu
  • *此作品的通讯作者
  • Zhejiang Normal University
  • Chinese Academy of Sciences
  • The First Affiliated Hospital of Chongqing Medical University

科研成果: 期刊稿件文章同行评审

摘要

Magnetic Resonance Imaging (MRI) serves as a critical tool in modern medical diagnosis, and its accuracy is directly linked to patient treatment and recovery. However, unintentional patient movement during MRI scans often results in motion artifacts on the images, significantly compromising the precision of diagnosis. Traditional solutions typically involve identifying and addressing these issues after the scanning sequence is completed, leading to significant resource waste and delays in patient treatment. Here, we propose a flexible tactile sensor array system based on triboelectric nanogenerators (TENGs) for real-time monitoring of head motion artifacts in MRI. The unique design of the tactile sensor structure, operating in a dual-electrode mode, maintains high sensitivity and a wide response range, even with a minimal surface area. The advantage of TENG is the wide range of material choices, ensuring that a proper selection will not interfere with MRI during application. By integrating TENG sensor technology and control program systems, this solution provides a novel approach for monitoring head motion artifacts in MRI. On the basis of ensuring patient comfort, it has saved the time and money costs of monitoring, improved the efficiency of detection, and demonstrated significant potential in the field of medical imaging.

源语言英语
期刊论文编号110287
期刊Nano Energy
131
DOI
出版状态已出版 - 1 12月 2024
已对外发布

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    可持续发展目标 7 经济适用的清洁能源

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