TY - JOUR
T1 - An efficient hybrid method for 3D to 2D medical image registration
AU - Saadat, Shabnam
AU - Perriman, Diana
AU - Scarvell, Jennie M.
AU - Smith, Paul N.
AU - Galvin, Catherine R.
AU - Lynch, Joseph
AU - Pickering, Mark R.
N1 - Funding Information:
Shabnam Saadat gratefully acknowledges the support of the University of New South Wales (UNSW) for providing a living allowance, and the support of the Australian government research training program for providing a tuition fee scholarship which allowed the pursuit of this study. The medical imaging in this study was funded by Zimmer Biomet Pty Ltd and the Canberra Hospital Private Practice Trust Fund.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/7
Y1 - 2022/7
N2 - Purpose: The purpose of this paper is to present a method for registration of 3D computed tomography to 2D single-plane fluoroscopy knee images to provide 3D motion information for knee joints. This 3D kinematic information has unique utility for examining joint kinematics in conditions such as ligament injury, osteoarthritis and after joint replacement. Methods: We proposed a non-invasive rigid body image registration method which is based on two different multimodal similarity measures. This hybrid registration method helps to achieve a trade-off among different challenges including, time complexity and accuracy. Results: We performed a number of experiments to evaluate the performance of the proposed method. The experimental results show that the proposed method is as accurate as one of the most recent registration methods while it is several times faster than that method. Conclusion: The proposed method is a non-invasive, fast and accurate registration method, which can provide 3D information for knee joint kinematic measurements. This information can be very helpful in improving the accuracy of diagnosis and providing targeted treatment.
AB - Purpose: The purpose of this paper is to present a method for registration of 3D computed tomography to 2D single-plane fluoroscopy knee images to provide 3D motion information for knee joints. This 3D kinematic information has unique utility for examining joint kinematics in conditions such as ligament injury, osteoarthritis and after joint replacement. Methods: We proposed a non-invasive rigid body image registration method which is based on two different multimodal similarity measures. This hybrid registration method helps to achieve a trade-off among different challenges including, time complexity and accuracy. Results: We performed a number of experiments to evaluate the performance of the proposed method. The experimental results show that the proposed method is as accurate as one of the most recent registration methods while it is several times faster than that method. Conclusion: The proposed method is a non-invasive, fast and accurate registration method, which can provide 3D information for knee joint kinematic measurements. This information can be very helpful in improving the accuracy of diagnosis and providing targeted treatment.
KW - Edge position difference
KW - Image registration
KW - medical image analysis
KW - Similarity measure
KW - Sum-of-conditional variance
UR - http://www.scopus.com/inward/record.url?scp=85128285108&partnerID=8YFLogxK
U2 - 10.1007/s11548-022-02624-0
DO - 10.1007/s11548-022-02624-0
M3 - Article
AN - SCOPUS:85128285108
SN - 1861-6410
VL - 17
SP - 1313
EP - 1320
JO - International Journal of Computer Assisted Radiology and Surgery
JF - International Journal of Computer Assisted Radiology and Surgery
IS - 7
ER -