{"title":"Geometric averaging of X-ray signals in automatic exposure control","authors":"R. Snoeren, P. D. With","doi":"10.1109/ICIP.2010.5649590","DOIUrl":null,"url":null,"abstract":"Improper dose control in X-ray cardio-vascular systems leads to a reduced Signal-to-Noise Ratio (SNR) in regions of interest of the X-ray image. We aim at reducing the influence of direct radiation, entering a measuring field for X-ray dose control in a Flat Detector which gives too bright areas (highlights) in the image. It is our desire to use a norm-like signal size that represents a minimal dose value while maximizing information transfer and thus image quality. In a dose control system, it is common practice to employ a special averaging technique for computing a representative signal level controlling the X-ray. We have found that the geometric averaging outperforms the existing techniques and significantly improves the image quality. Our approach reduces the highlight influence and guarantees an adequate Contrast-to-Noise ratio for decentered objects. We provide convincing experimental results showing a strongly improved image quality with respect to contrast and detail.","PeriodicalId":228308,"journal":{"name":"2010 IEEE International Conference on Image Processing","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2010.5649590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Improper dose control in X-ray cardio-vascular systems leads to a reduced Signal-to-Noise Ratio (SNR) in regions of interest of the X-ray image. We aim at reducing the influence of direct radiation, entering a measuring field for X-ray dose control in a Flat Detector which gives too bright areas (highlights) in the image. It is our desire to use a norm-like signal size that represents a minimal dose value while maximizing information transfer and thus image quality. In a dose control system, it is common practice to employ a special averaging technique for computing a representative signal level controlling the X-ray. We have found that the geometric averaging outperforms the existing techniques and significantly improves the image quality. Our approach reduces the highlight influence and guarantees an adequate Contrast-to-Noise ratio for decentered objects. We provide convincing experimental results showing a strongly improved image quality with respect to contrast and detail.