Literature DB >> 18283979

Acquisition hardware for digital imaging.

William R Widmer1.   

Abstract

Use of digital radiography is growing rapidly in veterinary medicine. Two basic digital imaging systems are available, computed radiography (CR) and direct digital radiography (DDR). Computed radiographic detectors use a two-step process for image capture and processing. Image capture is by X-ray sensitive phosphors in the image plate. The image plate reader transforms the latent phosphor image to light photons that are converted to an analog electrical signal. An analog to digital converter is used to digitize the electrical signal before computer analysis. Direct digital detectors provide digital data by direct readout after image capture--a reader unnecessary. Types of DDR detectors are flat panel detectors and charge coupled device (CCD) detectors. Flat panel detectors are composed of layers of semiconductors for image capture with transistor and microscopic circuitry embedded in a pixel array. Direct converting flat panel detectors convert incident X-rays directly into electrical charges. Indirect detectors convert X-rays to visible light, then to electrical charges. All flat panel detectors send a digitized electrical signal to a computer using a direct link. Charge coupled device detectors have a small chip similar to those used in digital cameras. A scintillator first converts X-rays to a light signal that is minified by an optical system before reaching the chip. The chip sends a digital signal directly to a computer. Both CR and DDR provide quality diagnostic images. CR is a mature technology while DDR is an emerging technology.

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Mesh:

Year:  2008        PMID: 18283979     DOI: 10.1111/j.1740-8261.2007.00326.x

Source DB:  PubMed          Journal:  Vet Radiol Ultrasound        ISSN: 1058-8183            Impact factor:   1.363


  6 in total

1.  Digital radiography, image archiving and image display: Practical tips.

Authors:  Robert Cruz
Journal:  Can Vet J       Date:  2008-11       Impact factor: 1.008

2.  Free DICOM-Viewers for Veterinary Medicine : Survey and Comparison of Functionality and User-Friendliness of Medical Imaging PACS-DICOM-Viewer Freeware for Specific Use in Veterinary Medicine Practices.

Authors:  Andreas Brühschwein; Julius Klever; Anne-Sophie Hoffmann; Denise Huber; Elisabeth Kaufmann; Sven Reese; Andrea Meyer-Lindenberg
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

3.  DICOM Standard Conformance in Veterinary Medicine in Germany: a Survey of Imaging Studies in Referral Cases.

Authors:  Andreas Brühschwein; Julius Klever; Tom Wilkinson; Andrea Meyer-Lindenberg
Journal:  J Digit Imaging       Date:  2018-02       Impact factor: 4.056

4.  Deep learning in veterinary medicine, an approach based on CNN to detect pulmonary abnormalities from lateral thoracic radiographs in cats.

Authors:  Caroline Boulocher; Thomas Grenier; Léo Dumortier; Florent Guépin; Marie-Laure Delignette-Muller
Journal:  Sci Rep       Date:  2022-07-06       Impact factor: 4.996

5.  Development of a zoomorphic test specimen for constancy testing on digital X-ray systems in veterinary radiology.

Authors:  Gerrit Pöhlmann; Matthias Lüpke; Christian Seiler; Patrick Wefstaedt; Jan-Peter Bach; Ingo Nolte; Hermann Seifert
Journal:  Acta Vet Scand       Date:  2019-08-20       Impact factor: 1.695

6.  Pilot study of bovine interdigital cassetteless computed radiography.

Authors:  El-Sayed Ahmed Awad El-Shafaey; Takahiro Aoki; Mitsuo Ishii; Kazutaka Yamada
Journal:  J Vet Med Sci       Date:  2013-06-19       Impact factor: 1.267

  6 in total

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