TY - JOUR
T1 - Automatic Optical Co-Registration Method of OPM-MCG and CT
AU - Liu, Zhanyi
AU - Yang, Yanfei
AU - Wang, Ruizhe
AU - Wang, Yanmei
AU - Pang, Jiaojiao
AU - Liu, Gang
AU - Xiang, Min
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - Recent advancements in optically pumped magnetometers (OPMs) have driven the development of magnetocardiography (MCG) systems, which provide high-quality signals and greater flexibility at a lower cost. While the OPM sensor configuration is more flexible, it introduces new challenges to the co-registration of MCG and computed tomography (CT), which directly impacts the spatial accuracy of source localization. In this study, we present an automatic co-registration method consisting of two main components: sensor localization and sensor-to-CT registration. Sensor positions and orientations are determined within 3-D images reconstructed through optical scanning based on the bed registration unit. Abdominal surface matching is employed to automatically align anatomical images with sensor positions. The results demonstrate that the mean registration position and orientation errors across all sensors on the reference phantom are 0.49 mm and less than 0.2°, respectively, with a computational runtime of less than 10 s. Compared with existing methods involving manual procedures, such as moving digitizers to markers and removing sensors, the proposed co-registration method is more accurate and efficient.
AB - Recent advancements in optically pumped magnetometers (OPMs) have driven the development of magnetocardiography (MCG) systems, which provide high-quality signals and greater flexibility at a lower cost. While the OPM sensor configuration is more flexible, it introduces new challenges to the co-registration of MCG and computed tomography (CT), which directly impacts the spatial accuracy of source localization. In this study, we present an automatic co-registration method consisting of two main components: sensor localization and sensor-to-CT registration. Sensor positions and orientations are determined within 3-D images reconstructed through optical scanning based on the bed registration unit. Abdominal surface matching is employed to automatically align anatomical images with sensor positions. The results demonstrate that the mean registration position and orientation errors across all sensors on the reference phantom are 0.49 mm and less than 0.2°, respectively, with a computational runtime of less than 10 s. Compared with existing methods involving manual procedures, such as moving digitizers to markers and removing sensors, the proposed co-registration method is more accurate and efficient.
KW - Co-registration
KW - magnetocardiography (MCG)
KW - optically pumped magnetometer (OPM)
KW - rigid sensor arrays
KW - structured-light scanner
UR - https://www.scopus.com/pages/publications/105008033420
U2 - 10.1109/TIM.2025.3574909
DO - 10.1109/TIM.2025.3574909
M3 - 文章
AN - SCOPUS:105008033420
SN - 0018-9456
VL - 74
JO - IEEE Transactions on Instrumentation and Measurement
JF - IEEE Transactions on Instrumentation and Measurement
M1 - 4013610
ER -