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    Exact calculation of the minimal exposure for the secure detection of a transmission contrast signal.
        
        Radiat. Prot. Dosim. 139, 81-85 (2010)
    
    
    
	    In contrary to conventional screen film radiography digital radiographic methods allow the flexible adaptation of the visualisation of an image to a clinical question even after its generation. Nevertheless, the information content of an image is in addition to covering effects like anatomical noise ultimately limited by the applied exposure, its energy distribution and the dose to the detector. This limitation needs to be analysed quantitatively and in connection with efficiency properties of the image generation process. The random variation of pixel values in plane digital radiography is in general attributed to the limited number of imaging quanta. This allows determining a minimal number of applied quanta from requirements to the image information. The number of applied quanta is closely related to the entrance dose. It can be calculated by understanding the imaging process as the sum of many binomial sampling processes. This approach is useful for the separation and examination of the influences of the transmission, absorption and scattering properties of an imaging setup, including the used radiation quality. The model imaging task examined here is the detection of a thin contrast layer of one material behind a homogeneous main absorber of a second material by projection radiography. As the physical properties of the setup are dependent on the energy of the applied radiation, the energy leading to a minimal number of applied photons to achieve the required information can be calculated. It turns out to depend on the materials of both but on the thickness of only the main absorber. The efficiency of the exposure by other energies can be determined as the ratio between the minimal number and the number of quanta needed to achieve the same information. For monoenergetic exposures it is shown that changing the optimal energy by a fixed factor leads to the same loss of efficiency independent of the thicknesses of contrast layer and main absorber. The efficiency of the detection process can shift the optimal position. It directly follows that the optimal range of photon energy becomes smaller for thinner specimens. This clearly stresses the need for an adaptation of the applied energies to the physical properties of the patient especially when thin objects are examined.
	
	
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Scientific Article
    
 
     
    
    
        Keywords
        Noise; Algorithms*; Body Burden*; Humans; Radiation Dosage; Radiation Protection/methods*; Radiographic Image Enhancement/methods*; Radiographic Image Interpretation; Computer-Assisted/methods*; Radiometry/methods*; Reproducibility of Results; Sensitivity and Specificity
    
 
     
    
    
        Language
        
    
 
    
        Publication Year
        2010
    
 
     
    
        HGF-reported in Year
        2010
    
 
    
    
        ISSN (print) / ISBN
        0144-8420
    
 
    
        e-ISSN
        1742-3406
    
 
    
     
     
	     
	 
	 
    
        Journal
        Radiation Protection Dosimetry
    
 
	
    
        Quellenangaben
        
	    Volume: 139,  
	    Issue: 1-3,  
	    Pages: 81-85 
	    
	    
	
    
 
    
         
        
            Publisher
            Oxford University Press
        
 
        
            Publishing Place
            Oxford
        
 
	
         
         
         
         
         
	
         
         
         
    
         
         
         
         
         
         
         
    
        Reviewing status
        Peer reviewed
    
 
     
    
        POF-Topic(s)
        30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
    
 
    
        Research field(s)
        Radiation Sciences
    
 
    
        PSP Element(s)
        G-503600-002
    
 
     
     	
    
    
        Scopus ID
        77953345451
    
    
        PubMed ID
        20185455
    
    
        Erfassungsdatum
        2010-07-28