Literature DB >> 28866805

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

Robert D MacDougall1, Benoit Scherrer2, Steven Don3.   

Abstract

This technical innovation describes the development of a novel device to aid technologists in reducing exposure variation and repeat imaging in computed and digital radiography. The device consists of a color video and depth camera in combination with proprietary software and user interface. A monitor in the x-ray control room displays the position of the patient in real time with respect to automatic exposure control chambers and image receptor area. The thickness of the body part of interest is automatically displayed along with a motion indicator for the examined body part. The aim is to provide an automatic measurement of patient thickness to set the x-ray technique and to assist the technologist in detecting errors in positioning and motion before the patient is exposed. The device has the potential to reduce the incidence of repeat imaging by addressing problems technologists encounter daily during the acquisition of radiographs.

Entities:  

Keywords:  Augmented reality; Children; Computed radiography; Computer vision; Digital radiography; Radiation dose; Technical innovation

Mesh:

Year:  2017        PMID: 28866805     DOI: 10.1007/s00247-017-3968-9

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  5 in total

1.  Ongoing quality control in digital radiography: Report of AAPM Imaging Physics Committee Task Group 151.

Authors:  A Kyle Jones; Philip Heintz; William Geiser; Lee Goldman; Khachig Jerjian; Melissa Martin; Donald Peck; Douglas Pfeiffer; Nicole Ranger; John Yorkston
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

2.  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

3.  Patient size measured on CT images as a function of age at a tertiary care children's hospital.

Authors:  Patricia L Kleinman; Keith J Strauss; David Zurakowski; Kevin S Buckley; George A Taylor
Journal:  AJR Am J Roentgenol       Date:  2010-06       Impact factor: 3.959

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

Authors:  Kevin J Little; Ingrid Reiser; Lili Liu; Tiffany Kinsey; Adrian A Sánchez; Kateland Haas; Florence Mallory; Carmen Froman; Zheng Feng Lu
Journal:  J Am Coll Radiol       Date:  2016-09-20       Impact factor: 5.532

Review 5.  Image gently campaign back to basics initiative: ten steps to help manage radiation dose in pediatric digital radiography.

Authors:  Steven Don; Robert Macdougall; Keith Strauss; Quentin T Moore; Marilyn J Goske; Mervyn Cohen; Tracy Herrmann; Susan D John; Lauren Noble; Greg Morrison; Lois Lehman; Bruce R Whiting
Journal:  AJR Am J Roentgenol       Date:  2013-05       Impact factor: 3.959

  5 in total

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