Literature DB >> 16421768

Digital repeat analysis; setup and operation.

J Nol1, G Isouard, J Mirecki.   

Abstract

Since the emergence of digital imaging, there have been questions about the necessity of continuing reject analysis programs in imaging departments to evaluate performance and quality. As a marketing strategy, most suppliers of digital technology focus on the supremacy of the technology and its ability to reduce the number of repeats, resulting in less radiation doses given to patients and increased productivity in the department. On the other hand, quality assurance radiographers and radiologists believe that repeats are mainly related to positioning skills, and repeat analysis is the main tool to plan training needs to up-skill radiographers. A comparative study between conventional and digital imaging was undertaken to compare outcomes and evaluate the need for reject analysis. However, digital technology still being at its early development stages, setting a credible reject analysis program became the major task of the study. It took the department, with the help of the suppliers of the computed radiography reader and the picture archiving and communication system, over 2 years of software enhancement to build a reliable digital repeat analysis system. The results were supportive of both philosophies; the number of repeats as a result of exposure factors was reduced dramatically; however, the percentage of repeats as a result of positioning skills was slightly on the increase for the simple reason that some rejects in the conventional system qualifying for both exposure and positioning errors were classified as exposure error. The ability of digitally adjusting dark or light images reclassified some of those images as positioning errors.

Entities:  

Mesh:

Year:  2006        PMID: 16421768      PMCID: PMC3045180          DOI: 10.1007/s10278-005-8733-1

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  5 in total

1.  Comparative reject analysis in conventional film-screen and digital storage phosphor radiography.

Authors:  S Peer; R Peer; M Walcher; M Pohl; W Jaschke
Journal:  Eur Radiol       Date:  1999       Impact factor: 5.315

2.  A comparison of image reject rates when using film, hard copy computed radiography and soft copy images on picture archiving and communication systems (PACS) workstations.

Authors:  G C Weatherburn; S Bryan; M West
Journal:  Br J Radiol       Date:  1999-07       Impact factor: 3.039

3.  Picture archiving and communication systems: the users' view.

Authors:  J R Pilling
Journal:  Br J Radiol       Date:  2003-08       Impact factor: 3.039

4.  Is reject analysis necessary after converting to computed radiography?

Authors:  Rosemary Honea; Maria Elissa Blado; Yinlin Ma
Journal:  J Digit Imaging       Date:  2002-03-21       Impact factor: 4.056

5.  Quality assurance and quality control of an intensive care unit picture archiving and communication system.

Authors:  D M Tucker; M McEachern
Journal:  J Digit Imaging       Date:  1995-11       Impact factor: 4.056

  5 in total
  8 in total

1.  Maintaining quality control using a radiological digital X-ray dashboard.

Authors:  Todd R Minnigh; Jacqueline Gallet
Journal:  J Digit Imaging       Date:  2008-02-13       Impact factor: 4.056

2.  Image retake analysis in digital radiography using DICOM header information.

Authors:  C Prieto; E Vano; J I Ten; J M Fernandez; A I Iñiguez; N Arevalo; A Litcheva; E Crespo; A Floriano; D Martinez
Journal:  J Digit Imaging       Date:  2008-07-01       Impact factor: 4.056

3.  Digital radiography reject analysis: data collection methodology, results, and recommendations from an in-depth investigation at two hospitals.

Authors:  David H Foos; W James Sehnert; Bruce Reiner; Eliot L Siegel; Arthur Segal; David L Waldman
Journal:  J Digit Imaging       Date:  2008-04-30       Impact factor: 4.056

4.  Managing repeat digital radiography images-a systematic approach and improvement.

Authors:  Wen-Sheng Tzeng; Kuang-Ming Kuo; Chung-Feng Liu; Huan-Chung Yao; Chin-Yu Chen; Huang-Wei Lin
Journal:  J Med Syst       Date:  2011-05-31       Impact factor: 4.460

5.  One year's results from a server-based system for performing reject analysis and exposure analysis in computed radiography.

Authors:  A Kyle Jones; Raimund Polman; Charles E Willis; S Jeff Shepard
Journal:  J Digit Imaging       Date:  2011-04       Impact factor: 4.056

6.  Reject rate analysis in digital radiography: an Australian emergency imaging department case study.

Authors:  Samantha Atkinson; Michael Neep; Deborah Starkey
Journal:  J Med Radiat Sci       Date:  2019-07-18

7.  Image rejects in general direct digital radiography.

Authors:  Bjørn Hofmann; Tine Blomberg Rosanowsky; Camilla Jensen; Kenneth Hong Ching Wah
Journal:  Acta Radiol Open       Date:  2015-10-08

8.  Repeat analysis of intraoral digital imaging performed by undergraduate students using a complementary metal oxide semiconductor sensor: An institutional case study.

Authors:  Mohd Yusmiaidil Putera Mohd Yusof; Nur Liyana Abdul Rahman; Amiza Aqiela Ahmad Asri; Noor Ilyani Othman; Ilham Wan Mokhtar
Journal:  Imaging Sci Dent       Date:  2017-12-12
  8 in total

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