Literature DB >> 17544139

Digital radiography image quality: image acquisition.

Mark B Williams1, Elizabeth A Krupinski, Keith J Strauss, William K Breeden, Mark S Rzeszotarski, Kimberly Applegate, Margaret Wyatt, Sandra Bjork, J Anthony Seibert.   

Abstract

This article on digital radiography image acquisition is the first of two articles written as part of an intersociety effort to establish image quality standards for digital and computed radiography. The topic of the other paper is digital radiography image processing and display. The articles were developed collaboratively by the ACR, the American Association of Physicists in Medicine, and the Society for Imaging Informatics in Medicine. Increasingly, medical imaging and patient information are being managed using digital data during acquisition, transmission, storage, display, interpretation, and consultation. Data management during each of these operations has a direct impact on the quality of patient care. These articles describe what is known to improve image quality for digital and computed radiography and make recommendations on optimal acquisition, processing, and display. The practice of digital radiography is a rapidly evolving technology that will require the timely revision of any guidelines and standards. This document provides a basis for the technologies available today in clinical practice and may be useful in guiding the future clinical practice of digital radiography.

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Year:  2007        PMID: 17544139     DOI: 10.1016/j.jacr.2007.02.002

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  16 in total

1.  Consequences of modern anthropometric dimensions for radiographic techniques and patient radiation exposures.

Authors:  Chintan Shah; A Kyle Jones; Charles E Willis
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

2.  Normalizing Heterogeneous Medical Imaging Data to Measure the Impact of Radiation Dose.

Authors:  Luís A Bastião Silva; Luís S Ribeiro; Milton Santos; Nuno Neves; Dulce Francisco; Carlos Costa; José Luis Oliveira
Journal:  J Digit Imaging       Date:  2015-12       Impact factor: 4.056

3.  ACR-AAPM-SIIM practice guideline for determinants of image quality in digital mammography.

Authors:  Kalpana M Kanal; Elizabeth Krupinski; Eric A Berns; William R Geiser; Andrew Karellas; Martha B Mainiero; Melissa C Martin; Samir B Patel; Daniel L Rubin; Jon D Shepard; Eliot L Siegel; Judith A Wolfman; Tariq A Mian; Mary C Mahoney
Journal:  J Digit Imaging       Date:  2013-02       Impact factor: 4.056

4.  Structural similarity index family for image quality assessment in radiological images.

Authors:  Gabriel Prieto Renieblas; Agustín Turrero Nogués; Alberto Muñoz González; Nieves Gómez-Leon; Eduardo Guibelalde Del Castillo
Journal:  J Med Imaging (Bellingham)       Date:  2017-07-26

5.  General equations for optimal selection of diagnostic image acquisition parameters in clinical X-ray imaging.

Authors:  Xiaoming Zheng
Journal:  Radiol Phys Technol       Date:  2017-08-18

6.  Body size and tube voltage-dependent guiding equations for optimal selection of image acquisition parameters in clinical X-ray imaging.

Authors:  Xiaoming Zheng
Journal:  Radiol Phys Technol       Date:  2018-04-17

7.  Development of a mini-mobile digital radiography system by using wireless smart devices.

Authors:  Chang-Won Jeong; Su-Chong Joo; Jong-Hyun Ryu; Jinseok Lee; Kyong-Woo Kim; Kwon-Ha Yoon
Journal:  J Digit Imaging       Date:  2014-08       Impact factor: 4.056

8.  A survey of digital radiography practice in four South African teaching hospitals: an illuminative study.

Authors:  T Nyathi; Tf Chirwa; Dg van der Merwe
Journal:  Biomed Imaging Interv J       Date:  2010-01-01

9.  Effects of five levels of noise reduction applied to indirect digital radiography on diagnostic accuracy of external apical root resorption.

Authors:  Sanaz Sharifi Shoshtari; Seyed Arman Mohagheghi; Nastaran Farhadi; Negin Kheradmand; Lida Naderi
Journal:  Dent Res J (Isfahan)       Date:  2020-03-17

10.  Evaluation of radiographers' knowledge and attitudes of image quality optimisation in paediatric digital radiography in Saudi Arabia and Australia: a survey-based study.

Authors:  Haney Alsleem; Rob Davidson; Bandar Al-Dhafiri; Raghad Alsleem; Hussain Ameer
Journal:  J Med Radiat Sci       Date:  2019-11-06
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