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Proceedings Paper

3D/2D image registration method for joint motion analysis using low-quality images from mini C-arm machines
Author(s): Soheil Ghafurian; Ilker Hacihaliloglu; Dimitris N. Metaxas; Virak Tan; Kang Li
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Paper 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.

Paper Details

Date Published: 3 March 2017
PDF: 7 pages
Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101350B (3 March 2017); doi: 10.1117/12.2254678
Show Author Affiliations
Soheil Ghafurian, Rutgers, The State Univ. of New Jersey (United States)
Ilker Hacihaliloglu, Rutgers, The State Univ. of New Jersey (United States)
Dimitris N. Metaxas, Rutgers, The State Univ. of New Jersey (United States)
Virak Tan, Rutgers, The State Univ. of New Jersey (United States)
Kang Li, Rutgers, The State Univ. of New Jersey (United States)


Published in SPIE Proceedings Vol. 10135:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Baowei Fei, Editor(s)

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