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Link to original content: https://doi.org/10.1117/12.2254678
3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines
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3 March 2017 3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines
Soheil Ghafurian, Ilker Hacihaliloglu, Dimitris N. Metaxas, Virak Tan, Kang Li
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Proceedings Volume 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling; 101350B (2017) https://doi.org/10.1117/12.2254678
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States
Abstract
A 3D kinematic measurement of joint movement is crucial for orthopedic surgery assessment and diagnosis. This is usually obtained through a frame-by-frame registration of the 3D bone volume to a fluoroscopy video of the joint movement. The high cost of a high-quality fluoroscopy imaging system has hindered the access of many labs to this application. This is while the more affordable and low-dosage version, the mini C-arm, is not commonly used for this application due to low image quality. In this paper, we introduce a novel method for kinematic analysis of joint movement using the mini C-arm. In this method the bone of interest is recovered and isolated from the rest of the image using a non-rigid registration of an atlas to each frame. The 3D/2D registration is then performed using the weighted histogram of image gradients as an image feature. In our experiments, the registration error was 0.89 mm and 2.36° for human C2 vertebra. While the precision is still lacking behind a high quality fluoroscopy machine, it is a good starting point facilitating the use of mini C-arms for motion analysis making this application available to lower-budget environments. Moreover, the registration was highly resistant to the initial distance from the true registration, converging to the answer from anywhere within ±90° of it.
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Soheil Ghafurian, Ilker Hacihaliloglu, Dimitris N. Metaxas, Virak Tan, and Kang Li "3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines", Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101350B (3 March 2017); https://doi.org/10.1117/12.2254678
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KEYWORDS
Image registration
Bone
3D modeling
Fluoroscopy
Image segmentation
Motion analysis
Image quality
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