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Quantification of the accuracy limits of image registration using peak signal-to-noise ratio

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Abstract

A new method was developed for quantifying the accuracy limits of image registration devices and the distortion of anatomical structures in verification images without image registration. A correlation was found between peak signal-to-noise ratio (PSNR) and the amount of parallel movement (1–10 mm at 1-mm intervals) of a rectangular parallelepiped phantom [correlation coefficient (CC) −0.91, contribution ratio (CR) 0.83]. Rotating the phantom from 1° to 10° at 1° intervals produced a similar correlation with PSNR (CC −0.91, CR 0.83). To allow for manual registration, the grid pattern of the Mylar top plate was extracted from 455 pelvic portal images of 21 patients using a band-pass filtering technique. This revealed a different correlation between the original data (CC −0.62, CR 0.38) and averaged data (CC −0.96, CR 0.92), but this is considered to have been caused by structural distortion and manual matching errors. Thus, PSNR can be used to evaluate the accuracy limits of image registration and provide a judgment index that can be used in re-planning or re-setup in adaptive radiotherapy.

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References

  1. Bissonnette JP, Balter PA, Dong L, Langen KM, Lovelock DM, et al. Quality assurance for image-guided radiation therapy utilizing CT-based technologies: a report of the AAPM TG-179. Med Phys. 2012;39(4):1946–63.

    Article  PubMed  Google Scholar 

  2. Motegi K, Kohno R, Ueda T, Shibuya T, Ariji T, et al. Evaluating positional accuracy using megavoltage cone-beam computed tomography for IMRT with head-and-neck cancer. Radiat Res. 2014;55(3):568–74.

    Article  Google Scholar 

  3. Dawson LA, Jaffray DA. Advances in image-guided radiation therapy. Clin Oncol. 2007;25(8):938–46.

    Article  Google Scholar 

  4. De Los Santos J, Popple R, Agazaryan N, Bayouth JE, Bissonnette JP, et al. Radiation therapy (IGRT) technologies for radiation therapy localization and delivery. Rad Oncol. 2013;87(1):33–45.

    Google Scholar 

  5. Markelj P, Tomazevic D, Likar B, Pernus F. A review of 3D/2D registration methods for image-guided interventions. Med Image Anal. 2012;16(3):642–61.

    Article  CAS  PubMed  Google Scholar 

  6. Erminia I, Trodella L, Ramella S, D’Angelillo RM, et al. Estimation of patient setup uncertainty using BrainLAB exatrac X-Ray 6D system in image-guided radiotherapy. Med Phys. 2015;16(2):99–107.

    Google Scholar 

  7. Balter JM, Kessler ML. Imaging and alignment for image-guided radiation therapy. Clin Oncol. 2007;25(8):931–7.

    Article  Google Scholar 

  8. Zhang L, Garden AS, Lo J, Ang KK, Ahamad A, et al. Multiple regions-of-interest analysis of setup uncertainties for head-and-neck cancer radiotherapy. Rad Oncol Biol Phys. 2006;64(5):1559–69.

    Article  Google Scholar 

  9. Pooja K, Yuvraj S. Comparison of different image enhancement techniques based upon PSNR & MSE. Appl Eng Res. 2012;7(11):2010–4.

    Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Radiology, Yamaguchi University Hospital, 1-1-1, Minamikogushi, Ube, Yamaguchi, Japan

    Yoshinori Tanabe

  2. Division of Health Sciences, Graduate School of Medicine, Osaka University, 1-7, Yamadaoka, Suita, 565-0871, Japan

    Yoshinori Tanabe & Takayuki Ishida

Authors
  1. Yoshinori Tanabe
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  2. Takayuki Ishida
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Correspondence to Yoshinori Tanabe.

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Funding

This study was funded by a Kazuya Yamashita Grant of the Japanese Society of Radiological Technology (Grant Number 1).

Conflict of interest

The authors declare that they have no conflict of interest.

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Tanabe, Y., Ishida, T. Quantification of the accuracy limits of image registration using peak signal-to-noise ratio. Radiol Phys Technol 10, 91–94 (2017). https://doi.org/10.1007/s12194-016-0372-3

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  • DOI: https://doi.org/10.1007/s12194-016-0372-3

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