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Integration of flat panel X-ray detector for high resolution diagnostic medical imaging

โœ Scribed by Min-woo Kim; Min-seok Yun; Yoon-suk Kim; Kyung-min Oh; Jung-wook Shin; Kyung-tae Nam; Sang-hee Nam


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
398 KB
Volume
633
Category
Article
ISSN
0168-9002

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โœฆ Synopsis


In these days, flat panel X-ray image detectors have shown their potential for replacing traditional screen-film systems. To detect the X-ray photon energy, there are two main methods known as a direct method and an indirect method. The X-rays are converted immediately into electrical signal with the direct method. The indirect method has two conversion steps: the scintillator absorbs the X-rays and converts them to visible light. And then the visible light is converted to electrical signal (e.g. by photodiodes). In this work, the flat panel digital X-ray image detector based on direct method with a high atomic number material was designed and evaluated. The high atomic number material for X-ray conversion is deposited by a rubbing method with about 300 mm. The rubbing method is similar to the screen printing method. It consists of two elements: the screen and the squeegee. The method uses a proper stiff bar stretched tightly over a frame made of wood or metal. Proper tension is essential for proper laminated structure. The detector prototype has 139 mm pixel pitch, total 1280 ร‚ 1536 pixels and 86% fill factor. Twelve readout ICs are installed on digital X-ray detector and simultaneously operated to reach short readout time. The electronics integrated: the preamplifier to amplify generated signal, the Analog to Digital converter and the source of bias voltage (1 V/mm). The system board and interface use an NI-camera program. Finally, we achieved images from this flat panel X-ray image detector.


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This work presents a direct comparison of two pixel detectors: a charge-integrating flat panel imager coupled to a CsI:Tl scintillator and a hybrid silicon detector of Medipix2 type, working in a singlephoton counting mode. The comparison concerns image quality in terms of system-spatial resolution,