作者: Sung-Hyun Kim , Do-Il Kim , Jai-Woong Yoon , Hyoung-Koo Lee , Tae-Seok Suh
DOI: 10.1007/978-3-540-36841-0_382
关键词: Computer vision 、 Image quality 、 Image resolution 、 Observer (quantum physics) 、 Image quality analysis 、 Artificial intelligence 、 Imaging phantom 、 Nuclear medicine 、 Digital radiography 、 Detector 、 Signal-to-noise ratio (imaging) 、 Computer science
摘要: In digital radiography system, the diagnostic utility of image quality mainly depends on processing technique data. The aim this work is to quantitatively evaluate our aSi:H/CsI(Tl) flat-panel based system using a chest phantom. study human visual property and detector response four standard radiation qualities (from RQA 3 9) was performed. high low contrast resolution assessed with two commercially available systems same detector. resulting signal-to-noise ratios (SNRs) nine objects in lung, heart subdia-phragm regionns, relative spatial lung field were comparable those other systems. Low automatically detected SNRs computed by analysis algorithm. quantitative procedure designed removes observer’s subjectivity. addition, It can be easily applied for detectability measurement object modalities. Image algorithm