作者: Mark B. Williams , Priya Raghunathan , Mitali J. More , J. Anthony Seibert , Alexander Kwan
DOI: 10.1118/1.2912177
关键词: Biomedical engineering 、 Mammography 、 Imaging phantom 、 Automatic exposure control 、 Mathematics 、 Digital mammography 、 Nuclear medicine 、 Environmental exposure 、 Radiographic Image Enhancement 、 Image processing 、 Signal-to-noise ratio (imaging)
摘要: Optimization of exposure parameters (target, filter, and kVp) in digital mammography necessitates maximization the image signal-to-noise ratio (SNR), while simultaneously minimizing patient dose. The goal this study is to compare, for each major commercially available full field (FFDM) systems, impact selection technique factors on SNR radiation dose a range breast thickness tissue types. This phantom an update previous investigation includes measurements recent versions two FFDM systems discussed that article, as well three not at time. five commercial tested, Senographe 2000D from GE Healthcare, Mammomat Novation DR Siemens, Selenia Hologic, Fischer Senoscan, Fuji’s 5000MA used with Lorad M-IV unit, are located different university test sites. Performance was assessed using all x-ray target filter combinations nine types (three compressed thicknesses composition types). Each type also imaged automatic control (AEC) system identify under automated acquisition. figure merit (FOM) compare square mean glandular results show that, given target∕filter combination, general FOM slowly changing function kVp, stronger dependence choice combination. In cases decreasing kVp top settings, indicating higher tube voltages would produce no further performance improvement. For type, parameter set resulting highest value specific, depending both combinations, receptor type. most cases, AECs successfully identified values near maximum ones, however, there were several examples where AEC could be improved.