TY - JOUR
T1 - Quantification of the accuracy limits of image registration using peak signal-to-noise ratio
AU - Tanabe, Yoshinori
AU - Ishida, Takayuki
N1 - Funding Information:
This study was funded by a Kazuya Yamashita Grant of the Japanese Society of Radiological Technology (Grant Number 1).
Publisher Copyright:
© 2016, Japanese Society of Radiological Technology and Japan Society of Medical Physics.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - 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.
AB - 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.
KW - Adaptive radiotherapy
KW - Geometric uncertainty
KW - Image registration
KW - Image-guided radiotherapy
KW - Peak signal-to-noise ratio
KW - Setup accuracy
UR - http://www.scopus.com/inward/record.url?scp=84982286072&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84982286072&partnerID=8YFLogxK
U2 - 10.1007/s12194-016-0372-3
DO - 10.1007/s12194-016-0372-3
M3 - Article
C2 - 27539271
AN - SCOPUS:84982286072
SN - 1865-0333
VL - 10
SP - 91
EP - 94
JO - Radiological Physics and Technology
JF - Radiological Physics and Technology
IS - 1
ER -