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. 2023 Oct 17;26(11):108235.
doi: 10.1016/j.isci.2023.108235. eCollection 2023 Nov 17.

Co-registration of OPM-MCG signals with CT using optical scanning

Yanfei Yang  1   2   3 , Huidong Wang  1   2   3 , Zhanyi Liu  1   2   3 , Yanmei Wang  1   2   3 , Xiaole Han  1   2   3 , Yifan Jia  1   2   3 , Jiaojiao Pang  3   4   5 , Fei Xie  3   4   5 , Dexin Yu  3   5   6 , Yang Zhang  3   5   6 , Min Xiang  1   2   3   7   8   9 , Xiaolin Ning  1   2   3   7   8   9
Affiliations

Co-registration of OPM-MCG signals with CT using optical scanning

Yanfei Yang et al. iScience. .

Abstract

Magnetocardiography (MCG) can be used to noninvasively measure the electrophysiological activity of myocardial cells. The high spatial resolution of magnetic source localization can precisely determine the location of cardiomyopathy, which is of great significance for the diagnosis and treatment of cardiovascular disease. To perform magnetic source localization, MCG data must be co-registered with anatomical images. We propose a co-registration method that can be applied to OPM-MCG systems. In this method, the sensor array and the trunk of the subject are scanned using structured light-scanning technology, and the scan results are registered with the reconstructed structure using computed tomography (CT). This can increase the number of effective cloud points acquired and reduce the interference from respiratory motion. The scanning bed of the OPM-MCG system was modified to be consistent with the CT device, ensuring that the state of the body remains consistent between the cardiac magnetometry measurements and CT scans.

Keywords: Biomedical engineering; Medical imaging.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

None
Graphical abstract
Figure 1
Figure 1
Three models required for prosthetic registration experiments (A) 3D printed prosthesis model. (B) Structural light-scanning results. (C) Prosthesis design diagram.
Figure 2
Figure 2
Calculation of the repeatability error based on scans 1–10, respectively
Figure 3
Figure 3
Registration position error corresponding to 36 sensors
Figure 4
Figure 4
Repeatability error for ten scans (A) Repeatability error of human waist. (B) Repeatability error of human abdomen.
Figure 5
Figure 5
Surface fitting error after registration between the structured light scan results and the CT reconstruction results
Figure 6
Figure 6
Processing flow of human registration experiment (A) Transformation of the sensor coordinate system to the torso coordinate system. (B) Transformation of the torso coordinate system to the CT coordinate system.
Figure 7
Figure 7
OPM MCG signals (A) MCG Butterfly diagram. (B) T peak 36-channel MFMs. Normal MFM has a single dipole structure. The color depth of the figure represents the magnetic field intensity, corresponding to the color bar in the figure.
See this image and copyright information in PMC

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