Affiliations: Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University, Higashiogu Arakawa-ku, Tokyo, Japan
Correspondence:
[*]
Corresponding author: Toshiyuki Yuhara, Department of Radiological Sciences, Graduate School of Human Health Sciences, Tokyo Metropolitan University 7-2-10, Higashiogu Arakawa-ku, Tokyo 116-8551 Japan. Tel.: +81 3 3819 1211; Fax: +81 3 3819 1406; E-mail: [email protected].
Abstract: BACKGROUND:Digital radiography (DR) is grayscale adjustable and it can be unclear whether an acquired DR image is captured with the minimum radiation dose required. It is necessary to make an image of the amount of noise when taken at a lower dose than the acquired image, without increased exposure. OBJECTIVE:To examine whether an image of unacquired dose can be created from two types of dose DR images acquired using a phantom. METHODS:To create an additive image from two images of different doses, the pixel value of one image is multiplied by a coefficient and added to the other. The normalized noise power spectra (NNPS) of the normal image and the additive image with the same signal-to-noise ratio (SNR) are compared. The image noise of the unacquired doses is estimated from the graph changes of the pixel values and standard deviations of two images. The error between the SNR of the image obtained by changing the dose and the estimated SNR is measured. We propose a multiplication coefficient calculation formula that theoretically adjusts the additive image to the target SNR. The SNR error of the image created based on this formula is measured. RESULTS:The NNPS curves of the additive and normal images show a difference on the high frequency side. According to the statistics considering the preset of mAs value, there is no significant difference at 85%. The SNR estimation error is approximately 1%. The SNR error of the additive image created based on the formula is approximately 5%. CONCLUSION:The noise of the image of unacquired dose can be estimated, and the additive image adjusted to this value can be considered equivalent to the image taken at the actual dose.
Keywords: Signal to noise ratio, arbitrary dose, normalized noise power spectrum, additive processing image, normal image, multiplication coefficient
