Objective assessment of image quality in conventional and digital mammography taking into account dynamic range.

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Serval ID
serval:BIB_B9E297BAB92B
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Objective assessment of image quality in conventional and digital mammography taking into account dynamic range.
Journal
Radiation protection dosimetry
Author(s)
Pachoud M., Lepori D., Valley J.F., Verdun F.R.
ISSN
0144-8420
Publication state
Published
Issued date
2005
Peer-reviewed
Oui
Volume
114
Number
1-3
Pages
380-2
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't - Publication Status: ppublish
Abstract
The goal of this work is to develop a method to objectively compare the performance of a digital and a screen-film mammography system in terms of image quality. The method takes into account the dynamic range of the image detector, the detection of high and low contrast structures, the visualisation of the images and the observer response. A test object, designed to represent a compressed breast, was constructed from various tissue equivalent materials ranging from purely adipose to purely glandular composition. Different areas within the test object permitted the evaluation of low and high contrast detection, spatial resolution and image noise. All the images (digital and conventional) were captured using a CCD camera to include the visualisation process in the image quality assessment. A mathematical model observer (non-prewhitening matched filter), that calculates the detectability of high and low contrast structures using spatial resolution, noise and contrast, was used to compare the two technologies. Our results show that for a given patient dose, the detection of high and low contrast structures is significantly better for the digital system than for the conventional screen-film system studied. The method of using a test object with a large tissue composition range combined with a camera to compare conventional and digital imaging modalities can be applied to other radiological imaging techniques. In particular it could be used to optimise the process of radiographic reading of soft copy images.
Keywords
Breast, Breast Diseases, Breast Neoplasms, Humans, Image Processing, Computer-Assisted, Mammography, Phantoms, Imaging, Quality Control, Radiation Dosage, Radiographic Image Enhancement, Radiographic Image Interpretation, Computer-Assisted, Radiographic Magnification, Radiography, Radiology, Radiometry, X-Ray Intensifying Screens
Pubmed
Web of science
Open Access
Yes
Create date
29/02/2008 17:45
Last modification date
01/10/2019 6:19
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