ESTRO 2025 - Abstract Book

S2975

Physics - Image acquisition and processing

ESTRO 2025

(Figure 1). Based on the noise predictive model established through regression analysis across brain, H&N, breast, lung, abdomen, pelvis, and spine

(Figure 2), the predicted GNI m values at the reference (average) WED are as follows: 7.2 HU:6.5 HU, 8.7 HU:8.4 HU, 9.3 HU:7.3 HU, 11.0 HU:8.6 HU, 11.2 HU:9.5 HU, 11.2 HU:9.6 HU, and 10.2 HU:9.5 HU for the S:P manufacturer/model, respectively. Conclusion: There is no noticeable variation among scanners of the same model or the same vendor; however, a slight difference in noise levels can be detected between different manufacturers. A predictive model for noise assessment may be employed to estimate the noise levels in CT images, which can subsequently aid in optimizing the CT scanning protocol.

Keywords: Global noise index, CT protocol,

References: HC Kuo , U Mahmood, A S Kirov, et al. Standardization of Scan Protocols for RT Simulator from Different Vendors Using Quantitative Image Quality Technique. J Appl Clin Med Phys 2024, e14484 HC Kuo , U Mahmood, A S Kirov, et al. An Automated Technique for Global Noise Measurement in CT image with a conjunction of Image Gradient. Phys in Med and Bio 2024 Apr 15;69(9) X Tian, E Samei. Accurate Assessment and Prediction of Noise in Clinical CT images. Med. Phys. 2015 43, 475-482