Literature DB >> 27663061

Unified Database for Rejected Image Analysis Across Multiple Vendors in Radiography.

Kevin J Little1, Ingrid Reiser2, Lili Liu2, Tiffany Kinsey2, Adrian A Sánchez2, Kateland Haas2, Florence Mallory2, Carmen Froman2, Zheng Feng Lu2.   

Abstract

Reject rate analysis has been part of radiography departments' quality control since the days of screen-film radiography. In the era of digital radiography, one might expect that reject rate analysis is easily facilitated because of readily available information produced by the modality during the examination procedure. Unfortunately, this is not always the case. The lack of an industry standard and the wide variety of system log entries and formats have made it difficult to implement a robust multivendor reject analysis program, and logs do not always include all relevant information. The increased use of digital detectors exacerbates this problem because of higher reject rates associated with digital radiography compared with computed radiography. In this article, the authors report on the development of a unified database for vendor-neutral reject analysis across multiple sites within an academic institution and share their experience from a team-based approach to reduce reject rates.
Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Keywords:  Reject rate; database; dose reduction; radiography; repeat rate

Mesh:

Year:  2016        PMID: 27663061     DOI: 10.1016/j.jacr.2016.07.011

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


  2 in total

Review 1.  Development of a tool to aid the radiologic technologist using augmented reality and computer vision.

Authors:  Robert D MacDougall; Benoit Scherrer; Steven Don
Journal:  Pediatr Radiol       Date:  2017-09-02

2.  Image Quality Control in Lumbar Spine Radiography Using Enhanced U-Net Neural Networks.

Authors:  Xiao Chen; Qingshan Deng; Qiang Wang; Xinmiao Liu; Lei Chen; Jinjin Liu; Shuangquan Li; Meihao Wang; Guoquan Cao
Journal:  Front Public Health       Date:  2022-04-26
  2 in total

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