Dual-Feature Frequency Component Compression Method for Accelerating Reconstruction in Magnetic Particle Imaging

被引：13
作者：
Zhang, Peng [1 ]
Liu, Jie [1 ]
Li, Yimeng [2 ,3 ]
Yin, Lin [4 ,5 ]
An, Yu [2 ,3 ]
Zhong, Jing [6 ]
Hui, Hui [4 ,5 ]
Tian, Jie [2 ,3 ]
机构：
[1] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
[2] Beihang Univ, Sch Engn Med, Sch Biol Sci & Med Engn, Beijing 100191, Peoples R China
[3] Beihang Univ, Key Lab Big Data Based Precis Med, Minist Ind & Informat Technol China, Beijing 100190, Peoples R China
[4] Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
[5] Univ Chinese Acad Sci, Beijing 100190, Peoples R China
[6] Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing 100191, Peoples R China
来源：
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING | 2023年 / 9卷
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
Image reconstruction; Signal to noise ratio; Electrostatic discharges; Frequency measurement; Imaging; Particle measurements; Atmospheric measurements; Magnetic particle imaging; inverse problem; system matrix reconstruction; frequency component compression method; RESOLUTION;
D O I：
10.1109/TCI.2023.3255787
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The frequency component compression method (FCCM) has been widely used in magnetic particle imaging (MPI) technology to improve reconstruction efficiency. This method can reduce the reconstruction time by using the signal-to-noise ratio (SNR) feature to remove high noise frequency components. To further accelerate the reconstruction, a dual-feature frequency component compression method (DF-FCCM) was developed herein. A new energy spectral density (ESD) feature was introduced to describe the noise level of measurement signal. By using the SNR feature and the ESD feature, the DF-FCCM can select valuable frequency components that contain low noise both in the measurement signal and the system matrix. The reconstruction time can be reduced by using fewer frequency components that contain more valuable information. The efficiency and the robustness of the proposed method was validated through extensive simulation experiments. Further real experiments based on the OpenMPI data set verified that the DF-FCCM can be applied in real MPI reconstruction. Compared to the previous SNR-FCCM, the DF-FCCM can achieve similar or better reconstruction quality by using 25% reconstruction time. The proposed method can efficiently improve the reconstruction efficiency and potential to improve the online MPI imaging, which is essential for pre-clinical and clinical applications.
引用
收藏
页码：289 / 297
页数：9
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