An efficient hybrid method for 3D to 2D medical image registration
| Autor: | Shabnam, Saadat, Diana, Perriman, Jennie M, Scarvell, Paul N, Smith, Catherine R, Galvin, Joseph, Lynch, Mark R, Pickering |
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| Rok vydání: | 2022 |
| Předmět: |
Knee Joint
Biomedical Engineering Health Informatics General Medicine Computer Graphics and Computer-Aided Design Biomechanical Phenomena Computer Science Applications Imaging Three-Dimensional Fluoroscopy Humans Radiology Nuclear Medicine and imaging Surgery Computer Vision and Pattern Recognition Algorithms |
| Zdroj: | International Journal of Computer Assisted Radiology and Surgery. 17:1313-1320 |
| ISSN: | 1861-6429 |
| DOI: | 10.1007/s11548-022-02624-0 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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