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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
  • *Corresponding author for this work
  • Zhejiang Normal University
  • Chinese Academy of Sciences
  • The First Affiliated Hospital of Chongqing Medical University

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number110287
JournalNano Energy
Volume131
DOIs
StatePublished - 1 Dec 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Magnetic resonance imaging
  • Motion artifacts
  • Real-time monitoring
  • Sensor array
  • Smart medical care

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