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2D-3D registration for 3D analysis of lower limb alignment in a weight-bearing condition

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Abstract

X-ray imaging is the conventional method for diagnosing the orthopedic condition of a patient. Computerized Tomography(CT) scanning is another diagnostic method that provides patient’s 3D anatomical information. However, both methods have limitations when diagnosing the whole leg; X-ray imaging does not provide 3D information, and normal CT scanning cannot be performed with a standing posture. Obtaining 3D data regarding the whole leg in a standing posture is clinically important because it enables 3D analysis in the weight bearing condition. Based on these clinical needs, a hardware-based bi-plane X-ray imaging system has been developed; it uses two orthogonal X-ray images. However, such methods have not been made available in general clinics because of the hight cost. Therefore, we proposed a widely adaptive method for 2D X-ray image and 3D CT scan data. By this method, it is possible to threedimensionally analyze the whole leg in standing posture. The optimal position that generates the most similar image is the captured X-ray image. The algorithm verifies the similarity using the performance of the proposed method by simulation-based experiments. Then, we analyzed the internal-external rotation angle of the femur using real patient data. Approximately 10.55 degrees of internal rotations were found relative to the defined anterior-posterior direction. In this paper, we present a useful registration method using the conventional X-ray image and 3D CT scan data to analyze the whole leg in the weight-bearing condition.

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Authors and Affiliations

  1. Center for Bionics, Korea Institute of Science and Technology, Seoul, Korea

    Eungjune Shim, Youngjun Kim & Deukhee Lee

  2. Department of Biomedical Engineering, University of Science and Technology, Seoul, Korea

    Eungjune Shim, Youngjun Kim & Deukhee Lee

  3. Department of Orthopaedic Surgery, Kang-Dong Sacred Heart Hospital, Hallym University Medical School, Seoul, Korea

    Byung Hoon Lee

  4. Mechanical Engineering, Seoul National University, Seoul, Korea

    Sungkyung Woo & Kunwoo Lee

Authors
  1. Eungjune Shim
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  2. Youngjun Kim
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  3. Deukhee Lee
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  4. Byung Hoon Lee
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  5. Sungkyung Woo
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  6. Kunwoo Lee
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Corresponding author

Correspondence to Youngjun Kim.

Additional information

Supported by the KIST institutional program (2E26880, 2E26276).

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Shim, E., Kim, Y., Lee, D. et al. 2D-3D registration for 3D analysis of lower limb alignment in a weight-bearing condition. Appl. Math. J. Chin. Univ. 33, 59–70 (2018). https://doi.org/10.1007/s11766-018-3459-2

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  • DOI: https://doi.org/10.1007/s11766-018-3459-2

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