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Quantification of Joint Space Width Difference on Radiography Via Phase-Only Correlation (POC) Analysis: a Phantom Study Comparing with Various Tomographical Modalities Using Conventional Margin-Contouring

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Abstract

Several visual scoring methods are currently used to assess progression of rheumatoid arthritis (RA) on radiography. However, they are limited by its subjectivity and insufficient sensitivity. We have developed an original measurement system which uses a technique called phase-only correlation (POC). The purpose of this study is to validate the system by using a phantom simulating the joint of RA patients.

A micrometer measurement apparatus that can adjust arbitrary joint space width (JSW) in a phantom joint was developed to define true JSW. The phantom was scanned with radiography, 320 multi detector CT (MDCT), high-resolution peripheral quantitative CT (HR-pQCT), cone beam CT (CBCT), and tomosynthesis. The width was adjusted to the average size of a women’s metacarpophalangeal joint, from 1.2 to 2.2 mm with increments of 0.1 mm and 0.01 mm. Radiographical images were analyzed by the POC-based system and manual method, and images from various tomographical modalities were measured via the automatic margin detection method. Correlation coefficients between true JSW difference and measured JSW difference were all strong at 0.1 mm intervals with radiography (POC-based system and manual method), CBCT, 320MDCT, HR-pQCT, and tomosynthesis. At 0.01 mm intervals, radiography (POC-based system), 320MDCT, and HR-pQCT had strong correlations, while radiography (manual method) and CBCT had low correlations, and tomosynthesis had no statistically significant correlation. The smallest detectable changes for radiography (POC-based system), radiography (manual method), 320MDCT, HR-pQCT, CBCT, and tomosynthesis were 0.020 mm, 0.041 mm, 0.076 mm, 0.077 mm, 0.057 mm, and 0.087 mm, respectively. We conclude that radiography analyzed with the POC-based system might sensitively detect minute joint space changes of the finger joint.

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References

  1. Kitagaichi, M. et al. Safety and efficacy of the leukocytapheresis procedure in eighty-five patients with rheumatoid arthritis. Transfus. Apher. Sci. 55: 225–232, 2016.

    Article  Google Scholar 

  2. Zvaifler, N. J. The Immunopathology of Joint Inflammation in Rheumatoid Arthritis. Adv. Immunol. 16: 265–336, 1973.

    Article  CAS  Google Scholar 

  3. Karsdal, M. A. et al. Biochemical markers of ongoing joint damage in rheumatoid arthritis - current and future applications, limitations and opportunities. Arthritis Research and Therapy vol. 13 2011.

  4. Schett, G. & Gravallese, E. Bone erosion in rheumatoid arthritis: Mechanisms, diagnosis and treatment. Nature Reviews Rheumatology vol. 8 656–664, 2012.

    Article  CAS  Google Scholar 

  5. Singh, J. A. et al. 2012 update of the 2008 American college of rheumatology recommendations for the use of disease-modifying antirheumatic drugs and biologic agents in the treatment of rheumatoid arthritis. Arthritis Care Res. 64: 625–639, 2012.

    Article  CAS  Google Scholar 

  6. Burghardt, A. J. et al. Quantitative in vivo HR-pQCT imaging of 3D wrist and metacarpophalangeal joint space width in rheumatoid arthritis. Ann. Biomed. Eng. 41: 2553–2564, 2013.

    Article  Google Scholar 

  7. van der Heijde, D. How to read radiographs according to the Sharp/van der Heijde method. J. Rheumatol. 26: 743–5, 1999.

    PubMed  Google Scholar 

  8. van der Heijde, D. M. Plain X-rays in rheumatoid arthritis: overview of scoring methods, their reliability and applicability. Baillieres. Clin. Rheumatol. 10: 435–53, 1996.

    Article  Google Scholar 

  9. Bruynesteyn, K. et al. The Sharp/van der Heijde method out-performed the Larsen/Scott method on the individual patient level in assessing radiographs in early rheumatoid arthritis. J. Clin. Epidemiol. 57: 502–512, 2004.

    Article  Google Scholar 

  10. Van der heijde, D. et al. How to report radiographic data in randomized clinical trials in rheumatoid arthritis: Guidelines from a roundtable discussion. Arthritis Rheum. 47: 215–218, 2002.

  11. van Der Heijde, D., Boonen, A., Boers, M., Kostense, P. & van Der Linden, S. Reading radiographs in chronological order, in pairs or as single films has important implications for the discriminative power of rheumatoid arthritis clinical trials. Rheumatology (Oxford). 38: 1213–20, 1999.

    Article  Google Scholar 

  12. Sharp, J. T. et al. Computer based methods for measurement of joint space width: Update of an ongoing OMERACT project. in Journal of Rheumatology vol. 34 874–883, (J Rheumatol, 2007).

  13. Schenk, O. et al. Validation of automatic joint space width measurements in hand radiographs in rheumatoid arthritis. J. Med. Imaging 3: 044502, 2016.

    Article  Google Scholar 

  14. St.Clair, E. W. et al. Combination of infliximab and methotrexate therapy for early rheumatoid arthritis: A randomized, controlled trial. Arthritis Rheum. 50: 3432–3443, 2004.

  15. Lipsky, P. E. et al. Infliximab and methotrexate in the treatment of rheumatoid arthritis. N. Engl. J. Med. 343: 1594–1602, 2000.

    Article  CAS  Google Scholar 

  16. Ørnbjerg, L. M. & Østergaard, M. Assessment of structural damage progression in established rheumatoid arthritis by conventional radiography, computed tomography, and magnetic resonance imaging. Best Practice and Research: Clinical Rheumatology vol. 33 2019.

  17. Døhn, U. M. et al. Are bone erosions detected by magnetic resonance imaging and ultrasonography true erosions? A comparison with computed tomography in rheumatoid arthritis metacarpophalangeal joints. Arthritis Res. Ther. 8: 1–9, 2006.

    Article  Google Scholar 

  18. Døhn, U. M. et al. Rheumatoid arthritis bone erosion volumes on CT and MRI: Reliability and correlations with erosion scores on CT, MRI and radiography. Ann. Rheum. Dis. 66: 1388–1392, 2007.

    Article  Google Scholar 

  19. Shimizu, T. et al. Assessment of 3-month changes in bone microstructure under anti-TNFα therapy in patients with rheumatoid arthritis using high-resolution peripheral quantitative computed tomography (HR-pQCT). Arthritis Res. Ther. 19: 2017.

  20. Shimizu, T. et al. Structural changes over a short period are associated with functional assessments in rheumatoid arthritis. J. Rheumatol. 46: 676–684, 2019.

    Article  CAS  Google Scholar 

  21. Fouque-Aubert, A. et al. Assessment of hand bone loss in rheumatoid arthritis by high-resolution peripheral quantitative CT. Ann. Rheum. Dis. 69: 1671–1676, 2010.

    Article  Google Scholar 

  22. Yue, J. et al. Repair of Bone Erosion in Rheumatoid Arthritis by Denosumab: A High-Resolution Peripheral Quantitative Computed Tomography Study. Arthritis Care Res. 69: 1156–1163, 2017.

    Article  CAS  Google Scholar 

  23. Aoki, T., Ito, K., Shibahara, T., & Nagashima, S. High-Accuracy Machine Vision Using Phase-Only Correlation. IEICE ESS Fundam. Rev. 1: 30–40, 2007.

    Article  Google Scholar 

  24. Nikaido, A., Ito, K., Aoki, T., Kosuge, E. & Kawamata, R. A dental radiograph registration algorithm using phase-based image matching for human identification. in 2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS’06 375–378, (Institute of Electrical and Electronics Engineers Inc., 2006). https://doi.org/10.1109/ISPACS.2006.364907

  25. Ito, K., Aoki, T., Nakajima, H., Kobayashi, K. & Higuchi, T. A palmprint recognition algorithm using phase-based image matching. in Proceedings - International Conference on Image Processing, ICIP 2669–2672, (2006). https://doi.org/10.1109/ICIP.2006.313059

  26. Miyazawa, K., Ito, K., Aoki, T., Kobayashi, K. & Nakajima, H. An effective approach for Iris recognition using phase-based image matching. IEEE Trans. Pattern Anal. Mach. Intell. 30: 1741–1756, 2008.

    Article  Google Scholar 

  27. Jia, W. et al. Palmprint Recognition Based on Complete Direction Representation. IEEE Trans. Image Process. 26: 4483–4498, 2017.

    Article  Google Scholar 

  28. Ou, Y., Ambalathankandy, P., Shimada, T., Kamishima, T. & Ikebe, M. Automatic radiographic quantification of joint space narrowing progression in rheumatoid arthritis using POC. in Proceedings - International Symposium on Biomedical Imaging vols 2019-April 1183–1187, (IEEE Computer Society, 2019).

  29. Arai, Y., Tammisalo, E., Iwai, K., Hashimoto, K. & Shinoda, K. Development of a compact computed tomographic apparatus for dental use. Dentomaxillofacial Radiol. 28: 245–248, 1999.

    Article  CAS  Google Scholar 

  30. Peltonen, L. I. et al. Limited cone-beam computed tomography imaging of the middle ear: A comparison with multislice helical computed tomography. Acta radiol. 48: 207–212, 2007.

    Article  CAS  Google Scholar 

  31. McAdams, H. P., Samei, E., Dobbins, J., Tourassi, G. D. & Ravin, C. E. Recent advances in chest radiography. Radiology vol. 241 663–683, 2006.

    Article  Google Scholar 

  32. Tamura, K. Mechanical Properties of a Vacuum-Sintered Apatite Body for Use as Artificial Bone. J. Biomater. Nanobiotechnol. 06: 45–52, 2015.

    Article  Google Scholar 

  33. Pfeil, A. et al. Computer-aided joint space analysis of the metacarpal-phalangeal and proximal-interphalangeal finger joint: Normative age-related and gender-specific data. Skeletal Radiol. 36: 853–864, 2007.

    Article  Google Scholar 

  34. Scott, D. L., Wolfe, F. & Huizinga, T. W. J. Rheumatoid arthritis. in The Lancet vol. 376 1094–1108, (Lancet Publishing Group, 2010).

  35. Srinivasa Reddy, B. & Chatterji, B. N. An FFT-based technique for translation, rotation, and scale-invariant image registration. IEEE Trans. Image Process. 5: 1266–1271, 1996.

  36. Stone, H. S., Orchard, M. T., Chang, E. C. & Martucci, S. A. A fast direct Fourier-based algorithm for subpixel registration of images. IEEE Trans. Geosci. Remote Sens. 39: 2235–2243, 2001.

    Article  Google Scholar 

  37. Foroosh, H., Zerubia, J. B. & Berthod, M. Extension of phase correlation to subpixel registration. IEEE Trans. Image Process. 11: 188–199, 2002.

    Article  Google Scholar 

  38. High-Accuracy Subpixel Image Registration Based on Phase-Only Correlation.

  39. Bruynesteyn, K., Boers, M., Kostense, P., Van Der Linden, S. & Van Der Heijde, D. Deciding on progression of joint damage in paired films of individual patients: Smallest detectable difference or change. Ann. Rheum. Dis. 64: 179–182, 2005.

    Article  CAS  Google Scholar 

  40. Kato, K. et al. Detection of Fine Radiographic Progression in Finger Joint Space Narrowing Beyond Human Eyes: Phantom Experiment and Clinical Study with Rheumatoid Arthritis Patients. Sci. Rep. 9: 1–10, 2019.

    Article  Google Scholar 

  41. De Silvestro, A. et al. Postoperative imaging of orthopaedic hardware in the hand and wrist: is there an added value for tomosynthesis? Clin. Radiol. 73: 214.e1-214.e9, 2018.

    Google Scholar 

  42. Klintström, E. et al. Predicting trabecular bone stiffness from clinical cone-beam CT and HR-pQCT Data; an In vitro study using finite element analysis. PLoS One 11: 1–19, 2016.

    Article  Google Scholar 

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Author information

Author notes

  1. Aimi Taguchi and Shun Shishido equally contributed to this study

Authors and Affiliations

  1. Graduate School of Health Sciences, Hokkaido University, North-12 West-5, Kita-ku, Sapporo, 060-0812, Japan

    Aimi Taguchi & Shun Shishido

  2. Research Center for Integrated Quantum Electronics, Hokkaido University, North-13, West-8, Kita-ku, Sapporo, 060-0813, Japan

    Yafei Ou & Masayuki Ikebe

  3. Faculty of Health Sciences, Hokkaido University, North-12 West-5, Kita-ku, Sapporo, 060-0812, Japan

    Tianyu Zeng, Wanxuan Fang & Tamotsu Kamishima

  4. AIC Yaesu Clinic, C-road bldg., 2-1-18, Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan

    Koichi Murakami

  5. Department of Radiological Technology, Hokkaido University, North-14, West-5, Kita-ku, Sapporo, 060-8648, Japan

    Toshikazu Ueda

  6. Department of Radiology, NTT Sapporo Medical Center, South-1, West-15, Chuo-ku, Sapporo, 060-0061, Japan

    Nobutoshi Yasojima

  7. Department of Mechanical Engineering, College of Engineering, Nihon University, 1 Nakagawara, Tokusada, Tamura, Koriyama, Fukushima, 963-8642, Japan

    Keitaro Sato & Kenichi Tamura

  8. Global Center for Biomedical Science and Engineering, Hokkaido University, North-15 West-7, Kita-ku, Sapporo, 060-8638, Japan

    Kenneth Sutherland

  9. Department of Radiological Science, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki, 852-8501, Japan

    Nozomi Oki & Masataka Uetani

  10. Department of Orthopedic Surgery, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1, Sakamoto, Nagasaki, 852-8501, Japan

    Ko Chiba

  11. Department of Dental Radiology, Hokkaido University Hospital, North-14, West-5, Kita-ku, Sapporo, 060-8648, Japan

    Kazuyuki Minowa & Tamotsu Kamishima

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  1. Aimi Taguchi
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  2. Shun Shishido
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Correspondence to Tamotsu Kamishima .

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Taguchi, A., Shishido, S., Ou, Y. et al. Quantification of Joint Space Width Difference on Radiography Via Phase-Only Correlation (POC) Analysis: a Phantom Study Comparing with Various Tomographical Modalities Using Conventional Margin-Contouring. J Digit Imaging 34, 96–104 (2021). https://doi.org/10.1007/s10278-020-00406-1

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  • DOI: https://doi.org/10.1007/s10278-020-00406-1

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