TY - JOUR
T1 - Fast System Matrix Generation Based on Single Angle Calibration in Open-Sided Field Free Line Magnetic Particle Imaging
AU - Li, Guanghui
AU - Liu, Yanjun
AU - Qian, Zhumei
AU - Xiong, Fei
AU - Lei, Siao
AU - Feng, Yuan
AU - Li, Jiaqian
AU - Du, Yang
AU - Tian, Jie
AU - An, Yu
N1 - Publisher Copyright:
© 1964-2012 IEEE.
PY - 2024/4/1
Y1 - 2024/4/1
N2 - Objective: Open-sided field-free line magnetic particle imaging (OS FFL MPI) is a novel medical imaging system configuration that has received significant attention in recent years. However, the measurement-based system matrix (SM) image reconstruction for OS FFL MPI typically requires multiple angle calibration (MAC), which is time-consuming in practice. Methods: To address this issue, we propose a fast 2D SM generation method that requires only a single angle calibration (SAC). The SAC method exploits the rotational invariance of the system function. Based on the measured single angle system function, the system function is rotated to generate system functions at other angles, and then the SM for image reconstruction is constructed. Then, we conducted various simulation experiments and built an OS FFL MPI scanner to evaluate the proposed SAC method. Results: The experiments demonstrating the effectiveness of SAC in reducing calibration workload, requiring fewer scanning numbers while maintaining a similar image reconstruction quality compared to MAC method. Furthermore, the SM generated by SAC produces consistent imaging results with the SM generated by MAC, regardless of the interpolation algorithms, the number of rotation angles, or the signal-to-noise ratios employed in phantom imaging experiments. Conclusion: SAC has been experimentally verified to reduce acquisition time while maintaining accurate and robust reconstruction performance. Significance: The significance of SAC lies in its contribution to improving calibration efficiency in OS FFL MPI, potentially facilitating the implementation of MPI in a wider range of applications.
AB - Objective: Open-sided field-free line magnetic particle imaging (OS FFL MPI) is a novel medical imaging system configuration that has received significant attention in recent years. However, the measurement-based system matrix (SM) image reconstruction for OS FFL MPI typically requires multiple angle calibration (MAC), which is time-consuming in practice. Methods: To address this issue, we propose a fast 2D SM generation method that requires only a single angle calibration (SAC). The SAC method exploits the rotational invariance of the system function. Based on the measured single angle system function, the system function is rotated to generate system functions at other angles, and then the SM for image reconstruction is constructed. Then, we conducted various simulation experiments and built an OS FFL MPI scanner to evaluate the proposed SAC method. Results: The experiments demonstrating the effectiveness of SAC in reducing calibration workload, requiring fewer scanning numbers while maintaining a similar image reconstruction quality compared to MAC method. Furthermore, the SM generated by SAC produces consistent imaging results with the SM generated by MAC, regardless of the interpolation algorithms, the number of rotation angles, or the signal-to-noise ratios employed in phantom imaging experiments. Conclusion: SAC has been experimentally verified to reduce acquisition time while maintaining accurate and robust reconstruction performance. Significance: The significance of SAC lies in its contribution to improving calibration efficiency in OS FFL MPI, potentially facilitating the implementation of MPI in a wider range of applications.
KW - Magnetic particle imaging
KW - open-sided field free line
KW - system functions
KW - system matrix
UR - https://www.scopus.com/pages/publications/85177048545
U2 - 10.1109/TBME.2023.3331028
DO - 10.1109/TBME.2023.3331028
M3 - 文章
C2 - 37938949
AN - SCOPUS:85177048545
SN - 0018-9294
VL - 71
SP - 1209
EP - 1218
JO - IEEE Transactions on Biomedical Engineering
JF - IEEE Transactions on Biomedical Engineering
IS - 4
ER -