Dynamic x-ray imaging system based on an amorphous silicon thin-film array

Jung, Norbert; Alving, P. L.; Busse, Falko; Conrads, Norbert; Meulenbrugge, Henk J.; Ruetten, Walter; Schiebel, U.; Weibrecht, Martin; Wieczorek, H.

doi:10.1117/12.317040

Cited by 25 publications

(25 citation statements)

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“…These results are clearly superior to the performance delivered by the flat panel detector, although it represents already the state of the art in the current flat panel technology with CsI. As reported in [4], the flat panel detector reaches 23dB at an 10nGy exposure level.…”

Section: 3supporting

confidence: 36%

“…Noise power spectrum Image sequences were acquired with an experimental flat panel detector (see [4]) with a 200µm pixel size and with an image intensifier / CCD system. The image intensifier was of a 9" type, which we always operated in the 7" mode, resulting in a pixel size of 131µm.…”

Section: 1mentioning

confidence: 99%

“…The technology offers the potential for image sizes beyond 40×40cm 2 [1@ DQG SL[HO SLWFKHV GRZQ WR P >2, 3]. Readout of such devices can be performed in real-time with frame rates higher than 30 images per second for a matrix size of 1024×1024 pixels [4]. These technology options allow detectors to be designed which cover the complete range of medical x-ray applications.…”

Section: Introductionmentioning

confidence: 98%

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Methodology to measure fundamental performance parameters of x-ray detectors

Busse

Ruetten

Wischmann

et al. 2001

Medical Imaging 2001: Physics of Medical Imaging

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To judge the potential benefit of a new x-ray detector technology and to be able to compare different technologies, some standard performance measurements must be defined. In addition to technology-related parameters which may influence weight, shape, image distortions and readout speed, there are fundamental performance parameters which directly influence the achievable image quality and dose efficiency of x-ray detectors. A standardization activity for detective quantum efficiency (DQE) for static detectors is already in progress. In this paper we present a methodology for noise power spectrum (NPS), low frequency drop (LFD) and signal to electronic noise ratio (SENR), and the influence of these parameters on DQE. The individual measurement methods are described in detail with their theoretical background and experimental procedure. Corresponding technical phantoms have been developed. The design of the measurement methods and technical phantoms is tuned so that only minimum requirements are placed on the detector properties. The measurement methods can therefore be applied to both static and dynamic x-ray systems. Measurement results from flat panel imagers and II/TV systems are presented.

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Section: 3supporting

confidence: 36%

Section: 1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Methodology to measure fundamental performance parameters of x-ray detectors

Busse

Ruetten

Wischmann

et al. 2001

Medical Imaging 2001: Physics of Medical Imaging

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“…A challenge for counting pixel detectors in radiology is to build large area detectors. Commercially available integrating pixellated systems such as flat panel imagers [28,29,30,31,32] set the competition level.…”

Section: Imaging With Hybrid Pixel Detectorsmentioning

confidence: 99%

Pixel detectors for tracking and their spin-off in imaging applications

Wermes

2005

Nuclear Instruments and Methods in Physics Research Section A:

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To detect tracks of charged particles close to the interaction point in high energy physics experiments of the next generation colliders, hybrid pixel detectors, in which sensor and read-out IC are separate entities, constitute the present state of the art in detector technology. Three of the LHC detectors as well as the BTeV detector at the Tevatron will use vertex detectors based on this technology. A development period of almost 10 years has resulted in pixel detector modules which can stand the extreme rate and timing requirements as well as the very harsh radiation environment at the LHC for its full life time and without severe compromises in performance. From these developments a number of different applications have spun off, most notably for biomedical imaging. Beyond hybrid pixels, a number of trends and possibilities with yet improved performance in some aspects have appeared and presently developed to greater maturity. Among them are monolithic or semi-monolithic pixel detectors which do not require complicated hybridization but come as single sensor/IC entities. The present state in hybrid pixel detector development for the LHC experiments as well as for some imaging applications is reviewed and new trends towards monolithic or semi-monolithic pixel devices are summarized.

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“…From the 1970's the standard technology were image intensifier systems (II-TV) based on sizeable vacuum tubes incorporating electron optics, phosphor screens and optical cameras. Roughly from the year 2000 onwards, flat dynamic X-ray detectors [18][19][20][21] utilizing amorphous silicon technology have been introduced for cardiology, neurology, vascular imaging and other applications. Also for static X-ray imaging, e.g.…”

Section: State Of the Artmentioning

confidence: 99%

Detectors for X-ray Imaging and Computed Tomography

Overdick

Philips Research

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Dynamic x-ray imaging system based on an amorphous silicon thin-film array

Cited by 25 publications

References 0 publications

Methodology to measure fundamental performance parameters of x-ray detectors

Methodology to measure fundamental performance parameters of x-ray detectors

Pixel detectors for tracking and their spin-off in imaging applications

Detectors for X-ray Imaging and Computed Tomography

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