Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/8151
Title: Digital Repeat Analysis; Setup and Operation
Contributor(s): Nol, J (author); Isouard, Godfrey  (author); Mirecki, J (author)
Publication Date: 2006
DOI: 10.1007/s10278-005-8733-1
Handle Link: https://hdl.handle.net/1959.11/8151
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.
Publication Type: Journal Article
Source of Publication: Journal of Digital Imaging, 19(2), p. 159-166
Publisher: Springer New York LLC
Place of Publication: New York, United States of America
ISSN: 1618-727X
0897-1889
Field of Research (FOR): 111708 Health and Community Services
111799 Public Health and Health Services not elsewhere classified
111709 Health Care Administration
Socio-Economic Outcome Codes: 920499 Public Health (excl. Specific Population Health) not elsewhere classified
920208 Health Policy Evaluation
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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