Robert Gordon University
An evaluation of digital radiography in the imaging of the neonatal chest.
Abstract
dc:description.abstractNeonatal chest radiography is an area where there has been very limited research. The introduction of Computed Radiography (CR) has provided a new imaging modality that can be used to acquire neonatal chest radiographs and possibly reduce the radiation dose. The aim of this thesis was to design a simple phantom that reproduced the attenuation and scattering characteristics expected for a neonatal chest, and to develop a methodology for assessing image quality in terms of spatial resolution and contrast. Prior to undertaking the experimental phase, a questionnaire was sent out to ascertain the availability of CR in hospitals undertaking paediatric radiography. The results of the questionnaire provided information on the clinical areas where CR was installed and the reasons for selecting CR. The experimental phase of the study involved acquiring images of the phantom with a test object using Screen Film Radiography (SFR) and CR at the exposures used in the Neonatal Unit (NNU), and at half this exposure. The CR images were then assessed on both hard copy and soft copy and compared to SFR which is still considered the gold standard for neonatal chest radiography. The results indicated that soft copy CR was best for viewing the images, particularly at the reduced exposure. As a result it may be possible to acquire follow up images in NNU at a lower exposure, therefore reducing the radiation dose to the patient.
Degree
thesis:*- Grantor dc:publisher.institution
- Robert Gordon University
- Year dc:date.issued
- 2007
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Borthwick, Katrina Elizabeth Klaasen
- Advisor dc:contributor.advisor
-
- A. Stewart, D. Graham and B. Ratcliffe
Subjects
dc:subject × 5Rights
- Language dc:language
- en
Identifiers
dc:identifier.*- Identifier
-
oai:rgu-repository.worktribe.com:2807303
https://doi.org/10.48526/rgu-wt-2807303 - OAI identifier oai:identifier
- oai:rgu-repository.worktribe.com:2807303