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Automatic technique parameter selection on a digital mammography system: an evaluation of SNR and CNR as a function of AGD on a GE senographe DS.
Thomson, F J.
Affiliation
  • Thomson FJ; Radiology Department, Auckland City Hospital, Auckland, New Zealand. fthomson@adhb.govt.nz
Australas Phys Eng Sci Med ; 29(3): 251-6, 2006 Sep.
Article in En | MEDLINE | ID: mdl-17058586
There are obvious differences in the automatic selection of kVp, anode, and filter between a digital mammography system and the equivalent film/screen system for the same thickness of PMMA absorber. To investigate the reason for these changes, a large number of images were acquired using 2, 4, 6, and 8 cm thick PMMA absorbing slabs, and various combinations of kVp, mAs, anode, and filter. The SNR and CNR were calculated using two different contrast test objects and plotted as a function of AGD. The results can be summarized as follows: 1) For any given AGD with 4, 6, and 8 cm thick PMMA absorbers, SNR(Rh/Rh) > SNR(Mo/Rh) > SNR(Mo/Mo), 2) For any given AGD: At 4 cm thickness, CNR(Mo/Mo) > CNR(Mo/Rh) > CNR(Rh/Rh), At 6 cm thickness, CNR(Rh/Rh) approximately CNR(Mo/Rh) > CNR(Mo/Mo), At 8 cm thickness, CNR(Rh/Rh) > CNR(Mo/Rh), 3) For any given absorber thickness and target/filter combination, CNR is approximately proportional to SNR, 4) For any given absorber thickness and target/filter combination, SNR (and hence CNR) is approximately proportional to (AGD)0.3 rather than the expected (AGD)(0.5), 5) CNR measured using 0.1 mm thick aluminium foil as the contrast object is more dependent on choice of kVp than using a 1 mm deep hole in a PMMA slab.
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Collection: 01-internacional Database: MEDLINE Main subject: Radiometry / Mammography / Radiographic Image Interpretation, Computer-Assisted / Radiographic Image Enhancement Type of study: Diagnostic_studies / Evaluation_studies Limits: Humans Language: En Journal: Australas Phys Eng Sci Med Year: 2006 Document type: Article Affiliation country: New Zealand Country of publication: Netherlands
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Collection: 01-internacional Database: MEDLINE Main subject: Radiometry / Mammography / Radiographic Image Interpretation, Computer-Assisted / Radiographic Image Enhancement Type of study: Diagnostic_studies / Evaluation_studies Limits: Humans Language: En Journal: Australas Phys Eng Sci Med Year: 2006 Document type: Article Affiliation country: New Zealand Country of publication: Netherlands