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Modeling the Perfor...
Modeling the Performance of a Hybrid Pixel Detector for Digital X-ray Imaging
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- del Risco Norrlid, Lilián, 1969- (author)
- Uppsala universitet,Institutionen för kärn- och partikelfysik
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Fransson, Kjell (thesis advisor)
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- Caccia, Massimo, Professori Associati (opponent)
- Dipartamento di Fisica e Matematica, Università dell'Insubria
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(creator_code:org_t)
- ISBN 9155460356
- Uppsala : Acta Universitatis Upsaliensis, 2004
- English 45 s.
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Series: Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, 1104-232X ; 1012
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Abstract
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- The development of digital detectors for X-ray imaging in medical diagnostics receives an increasing amount of attention. The detector under development at the Department of Radiation Sciences at Uppsala University is a hybrid pixel detector, which consists of a semiconductor sensor mounted onto a readout chip. The readout chip is capable of performing photon counting and has an externally adjustable threshold.A simulation tool for the detector and a model applying the linear-systems transfer theory to X-ray hybrid pixel detectors have been developed. Also a characterization of the readout chip has been done. In order to estimate the potential of the detector for diagnostic radiology, we investigate the image quality using the spatial frequency dependent detective quantum efficiency (DQE). By means of the detector simulations, the influence of threshold setting, noise sources, level of exposure and charge sharing on the DQE have been studied. By means of the linear-systems theory, a single analytical expression is provided to obtain the DQE of a hybrid pixel detector.The method developed in this thesis will make it possible to optimize a detector design according to a particular medical application. It will also permit modifications and new features to be included without having to construct a full detector system.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Keyword
- Radiation sciences
- Hybrid pixel detector
- X-ray imaging
- simulations
- cascaded linear-systems
- Strålningsvetenskap
- Radiation biology
- Strålningsbiologi
Publication and Content Type
- vet (subject category)
- dok (subject category)
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