DocumentCode :
385333
Title :
Optimal flat-panel detector pixel size for visualization of stents in X-ray fluoroscopy
Author :
Jiang, Yuhao ; Srinivas, Yogesh ; Wilson, David L.
Author_Institution :
Dept. of Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
1037
Abstract :
Visualization of stents is of great interest in X-ray fluoroscopy. For stent visualization, detector pixel size must be small to reduce contrast dilution from partial area effect, but reducing pixel size lowers the number of photons collected, reducing the signal-to-noise ratio (SNR). In this study, we use a computational human observer model to predict human performance for stent detection and stent deployment detection as a function of pixel size. Predictions are made for an ideal and indirect flat-panel (FP) detector at three exposures. For an ideal detector, regardless of the task or exposure, the optimal pixel size was 50 μm. For an indirect detector, optimal pixel size depends on task and exposure. Pixel sizes were 80, 80, and 60 μm for stent detection and 60, 60, and 50 μm for stent deployment, at 5, 10, and 20 μR per frame, respectively.
Keywords :
X-ray detection; biomedical equipment; diagnostic radiography; medical image processing; observers; prosthetics; 50 to 80 micron; 5E-6 to 8E-6 R; computational human observer model; ideal detector; indirect flat-panel detector; medical diagnostic imaging; optimal flat-panel detector pixel size; optimal pixel size; pixel size; signal-to-noise ratio reduction; stent deployment detection; stents visualization; Biomedical engineering; Computational modeling; Frequency; Humans; Predictive models; Signal to noise ratio; Visualization; Wires; X-ray detection; X-ray detectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
ISSN :
1094-687X
Print_ISBN :
0-7803-7612-9
Type :
conf
DOI :
10.1109/IEMBS.2002.1106264
Filename :
1106264
Link To Document :
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