Literature DB >> 18774353

The design and imaging characteristics of dynamic, solid-state, flat-panel x-ray image detectors for digital fluoroscopy and fluorography.

A R Cowen1, A G Davies, M U Sivananthan.   

Abstract

Dynamic, flat-panel, solid-state, x-ray image detectors for use in digital fluoroscopy and fluorography emerged at the turn of the millennium. This new generation of dynamic detectors utilize a thin layer of x-ray absorptive material superimposed upon an electronic active matrix array fabricated in a film of hydrogenated amorphous silicon (a-Si:H). Dynamic solid-state detectors come in two basic designs, the indirect-conversion (x-ray scintillator based) and the direct-conversion (x-ray photoconductor based). This review explains the underlying principles and enabling technologies associated with these detector designs, and evaluates their physical imaging characteristics, comparing their performance against the long established x-ray image intensifier television (TV) system. Solid-state detectors afford a number of physical imaging benefits compared with the latter. These include zero geometrical distortion and vignetting, immunity from blooming at exposure highlights and negligible contrast loss (due to internal scatter). They also exhibit a wider dynamic range and maintain higher spatial resolution when imaging over larger fields of view. The detective quantum efficiency of indirect-conversion, dynamic, solid-state detectors is superior to that of both x-ray image intensifier TV systems and direct-conversion detectors. Dynamic solid-state detectors are playing a burgeoning role in fluoroscopy-guided diagnosis and intervention, leading to the displacement of x-ray image intensifier TV-based systems. Future trends in dynamic, solid-state, digital fluoroscopy detectors are also briefly considered. These include the growth in associated three-dimensional (3D) visualization techniques and potential improvements in dynamic detector design.

Entities:  

Mesh:

Year:  2008        PMID: 18774353     DOI: 10.1016/j.crad.2008.06.002

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  8 in total

Review 1.  C-arm flat detector computed tomography: the technique and its applications in interventional neuro-radiology.

Authors:  Mudassar Kamran; Sanjoy Nagaraja; James V Byrne
Journal:  Neuroradiology       Date:  2009-10-27       Impact factor: 2.804

2.  Simulation system for understanding the lag effect in fluoroscopic images.

Authors:  Rie Tanaka; Hiroki Kawashima; Katsuhiro Ichikawa; Kosuke Matsubara; Hiroji Iida; Shigeru Sanada
Journal:  Radiol Phys Technol       Date:  2012-12-29

3.  Occupational and patient radiation doses in a modern cardiac electrophysiology laboratory.

Authors:  Kevin A Wunderle; Mina K Chung; Sripriya Rayadurgam; Mark A Miller; Nancy A Obuchowski; Bruce D Lindsay
Journal:  J Interv Card Electrophysiol       Date:  2018-10-02       Impact factor: 1.900

4.  Can C-arm cone-beam CT detect a micro-embolic effect after TheraSphere radioembolization of neuroendocrine and carcinoid liver metastasis?

Authors:  Olivier Pellerin; MingDe Lin; Nikhil Bhagat; Wenbo Shao; Jean-François Geschwind
Journal:  Cancer Biother Radiopharm       Date:  2013 Jul-Aug       Impact factor: 3.099

5.  Low dose x-ray sources and high quantum efficiency sensors: the next challenge in dental digital imaging?

Authors:  Arnav R Mistry; Daniel Uzbelger Feldman; Jie Yang; Eric Ryterski
Journal:  Radiol Res Pract       Date:  2014-12-10

6.  New advances in intra-operative imaging in trauma.

Authors:  Peter H Richter; Florian Gebhard; Alexander Eickhoff; Konrad Schütze
Journal:  EFORT Open Rev       Date:  2018-05-21

Review 7.  Toward the era of a one-stop imaging service using an angiography suite for neurovascular disorders.

Authors:  Sheng-Che Hung; Chung-Jung Lin; Wan-Yuo Guo; Feng-Chi Chang; Chao-Bao Luo; Michael Mu-Huo Teng; Cheng-Yen Chang
Journal:  Biomed Res Int       Date:  2013-05-14       Impact factor: 3.411

8.  In Vivo Imaging of Intraocular Fluidics in Vitrectomized Swine Eyes Using a Digital Fluoroscopy System.

Authors:  Tamer Tandogan; Ramin Khoramnia; Gerd Uwe Auffarth; Michael Janusz Koss; Chul Young Choi
Journal:  J Ophthalmol       Date:  2016-04-03       Impact factor: 1.909

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.