Research Article
Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing
@INPROCEEDINGS{10.1007/978-3-031-33545-7_14, author={Xuchu Deng and Zongying Lai and Lizhi Chen}, title={Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing}, proceedings={IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings}, proceedings_a={IOTCARE}, year={2023}, month={5}, keywords={Compression sensing Nuclear magnetic resonance medical apparatus and instruments Intelligent imaging Gradient magnetic field Natural signal}, doi={10.1007/978-3-031-33545-7_14} }- Xuchu Deng
Zongying Lai
Lizhi Chen
Year: 2023
Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing
IOTCARE
Springer
DOI: 10.1007/978-3-031-33545-7_14
Abstract
Aiming at the problems of low peak signal-to-noise ratio and slow imaging speed in the imaging method of nuclear magnetic resonance medical devices, an intelligent imaging method of nuclear magnetic resonance medical devices based on compression sensing is designed. The imaging space of nuclear magnetic resonance medical devices is limited to two dimensions, and the nuclear magnetic resonance pulse sequence is designed to determine the current proton state by receiving the energy attenuation signal. The imaging data is compressed and sampled, and the original signal is reconstructed according to the collected data and the measurement matrix to ensure the image quality. Finally, the intelligent imaging mode based on compressed sensing optimization is realized. The experimental results show that the peak signal-to-noise ratio of the intelligent imaging method of NMR medical devices in this paper is higher than that of the other two intelligent imaging methods of NMR medical devices, which proves that the performance of the intelligent imaging method of NMR medical devices can be improved after combining the compression sensing technology.
