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

Yoshinori Tanabe, Takayuki Ishida

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)91-94
Number of pages4
JournalRadiological physics and technology
Issue number1
Publication statusPublished - Mar 1 2017
Externally publishedYes


  • Adaptive radiotherapy
  • Geometric uncertainty
  • Image registration
  • Image-guided radiotherapy
  • Peak signal-to-noise ratio
  • Setup accuracy

ASJC Scopus subject areas

  • Radiation
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Quantification of the accuracy limits of image registration using peak signal-to-noise ratio'. Together they form a unique fingerprint.

Cite this