Skip to main content

Basic Study for 3D Kinematic Measurement of Patella from Single-Plane Fluoroscopic Image Using Intensity-Based 2D/3D Registration

  • Conference paper
  • First Online:
World Congress on Medical Physics and Biomedical Engineering 2018

Part of the book series: IFMBE Proceedings ((IFMBE,volume 68/2))

  • 2971 Accesses

Abstract

The 3D measurement of dynamic knee kinematics under in vivo conditions is highly valuable for understanding the effects of joint diseases, dysfunction and for evaluating the outcome of surgical procedures. For artificial knee implants, to achieve 3D measurement of the dynamic kinematics, 2D/3D registration techniques which use X-ray fluoroscopic images and computer-aided design model of the implants have been applied to clinical cases. These fluoroscopic techniques have also been applied for motion measurement in joints without implants in recent years, where 3D bone models created from CT or MRI images are utilized. In previous studies, however, the pose estimation accuracy for patella was not sufficient for analyzing 3D knee kinematics, particularly out-of-plane rotation error was relatively large because of small shape and poor geometrical feature of patella. Therefore, this study presents a method to determine 3D kinematics of patella using single-plane fluoroscopic image. The 3D pose of patella is estimated using an intensity-based 2D/3D registration technique, which uses a digitally reconstructed radiography (DRR) image created from 3D bone volume model. The 3D bone volume model for patella was created using CT scan data from a single subject. The 3D pose of the patella model is estimating by maximizing similarity measures between the DRR and fluoroscopic images iteratively with an optimization technique. In order to validate the pose estimation accuracy of patella including femur and tibia/fibura using the intensity-based 2D/3D registration, computer simulation test was performed. A set of synthetic silhouette images was created for each knee model in known typical orientations, and the test was carried out using three similarity measure methods. The result of computer simulation test showed that the root mean square errors were around 1.0 mm, 1.0° except for out-of-plane translation, and the reliability and feasibility of present method was demonstrated.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 299.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 379.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Banks, SA., Hodge, WA.: Accurate measurement of three-dimensional knee replacement kinematics using single-plane fluoroscopy. IEEE Trans Biomed Eng 43(6), 638–649 (1996).

    Google Scholar 

  2. Zuffi, S., Leardini, A., Catani, F., et al.: A model-based method for the reconstruction of total knee replacement kinematics. IEEE Trans Meg Imag 18(10), 981–991 (1999).

    Google Scholar 

  3. Yamazaki, T., Watanabe, T., Nakajima, Y., et al.: Improvement of depth position in 2-D/3-D registration of knee implants using single-plane fluoroscopy. IEEE Trans Meg Imag 23(5), 602–612 (2004).

    Google Scholar 

  4. Kobashi, S., Tomosada, T., Shibanuma, N., et al.: Fuzzy image matching for pose recognition of occluded knee implants using fluoroscopy images. J Advanced Computational Intelligence and Intelligent Informatics 9(2), 181–195 (2005).

    Google Scholar 

  5. Bingham, J., Li, G.: An optimized image matching method for determining in-vivo TKA kinematics with a dual-orthogonal fluoroscopic imaging system. J Biomech Eng 128(4), 588–595 (2006).

    Google Scholar 

  6. Hirokawa, S., Abrar Hossain, M., Kihara, Y., et al.: A 3D kinematic estimation of knee prosthesis using X-ray projection images: Clinical assessment of the improved algorithm for fluoroscopy images. Medical Biological Engineering and Computing 46(12), 1253–1262 (2008).

    Google Scholar 

  7. Komistek, RD., Dennis, DA., Mahfouz, MR.: In vivo fluoroscopic analysis of the normal human knee. Clinical Orthopaedics & Related Research 410, 69–81 (2003).

    Google Scholar 

  8. Moro-oka, T., Hamai, S., Miura, H., et al.: Dynamic activity dependence of in vivo normal knee kinematics. Journal of Orthopaedic Research 26(4), 428–434 (2008).

    Google Scholar 

  9. Li, G., Papannagari, R., Kyung, WN., DeFrate, LE., Gill, TJ., Rubash, HE.: The coupled motion of the femur and patella during in vivo weight bearing knee flexion. J Biomech Eng 129(6), 937–943 (2007).

    Google Scholar 

  10. Ohnishi, T., Suzuki, M., Nawata, A., et al.: Three-dimensional motion study of femur, tibia, and patella at the knee joint from bi-plane fluoroscopy and CT images. Radiological Physics and Technology 3, 151–158 (2010).

    Google Scholar 

  11. Weng, J., Cohen, P., Herniou, M.: Camera calibration with distortion models and accuracy evaluation. IEEE Trans Pattern Anal Mach Intell 14, 965–980 (1992).

    Google Scholar 

  12. Penney, GP., Weese, J., Little, JA., et al.: A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE Trans Meg Imag 17, 586–595 (1998).

    Google Scholar 

  13. Lacroute, P., Levey, M.: Fast volume rendering using a shear-warp factorization of the viewing transformation. Proc. SIGGRAPH, 451–458 (1994).

    Google Scholar 

  14. NVIDIA Corp. CUDA download webpage, https://developer.nvidia.com/cuda-toolkit, last accessed 2018/2/5.

Download references

Disclosure Statement

The authors declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takaharu Yamazaki .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yamazaki, T., Hayashi, Y., Tomita, T., Kono, K., Sato, Y., Sugamoto, K. (2019). Basic Study for 3D Kinematic Measurement of Patella from Single-Plane Fluoroscopic Image Using Intensity-Based 2D/3D Registration. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/2. Springer, Singapore. https://doi.org/10.1007/978-981-10-9038-7_142

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-9038-7_142

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-9037-0

  • Online ISBN: 978-981-10-9038-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics