Contrast optimization in X-ray radiography with single photon counting imagers of Medipix type
- NázevTitle
- Contrast optimization in X-ray radiography with single photon counting imagers of Medipix typeContrast optimization in X-ray radiography with single photon counting imagers of Medipix type
- Druh výsledkuResult type
- Článek v časopiseJournal article
- AutořiAuthors
- I.J. Jandejsek, J.D. Dammer, J.J. Jakůbek, D.V. Vavřík, J.Ž. Žemlička
- DOIDOI
- 10.1088/1748-0221/7/12/C12011
- Časopis / citaceJournal / citation
- Journal of Instrumentation. 2012, 2012(7), ISSN 1748-0221.
- RokYear
- 2012
- JazykLanguage
- eng
- WoSWoS
- 000312962500011
- ScopusScopus
- 2-s2.0-84875551931
- RIVRIV
- RIV/68407700:21670/12:00203582!RIV13-MSM-21670___
- ProjektProject
- Využití radionuklidů a ionizujícího zářeníApplication of radionuclides and ionising radiation
AbstraktAbstract
Systematical measurement and optimization of the image contrast in the terms of the signal to noise ratio (SNR) reached by two detector systems Medipix2 (Si sensor) and Flat Panel (Scintillator + CMOS) is the aim of this work. The measurement is carried out with micro-focus X-ray source and aluminum step phantom specimen of various thicknesses. The SNR is computed from measured image data for various combination of aluminum thicknesses and in dependence on tube voltage and acquisition time. On the basis of the results, the comparison of two detector systems is done and the illustrative SNR optimization process for a hypothetical and real samples is demonstrated.
Systematical measurement and optimization of the image contrast in the terms of the signal to noise ratio (SNR) reached by two detector systems Medipix2 (Si sensor) and Flat Panel (Scintillator + CMOS) is the aim of this work. The measurement is carried out with micro-focus X-ray source and aluminum step phantom specimen of various thicknesses. The SNR is computed from measured image data for various combination of aluminum thicknesses and in dependence on tube voltage and acquisition time. On the basis of the results, the comparison of two detector systems is done and the illustrative SNR optimization process for a hypothetical and real samples is demonstrated.