Loading...
Context sensitive cardiac x-ray imaging: a machine vision approach to x-ray dose control
Kengyelics, S.M. Gislason-Lee, Amber J. Keeble, C. Magee, D.R. Davies, A.G.
Kengyelics, S.M.
Gislason-Lee, Amber J.
Keeble, C.
Magee, D.R.
Davies, A.G.
Publication Date
2015-09
End of Embargo
Supervisor
Keywords
Rights
(c) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.
Peer-Reviewed
Yes
Open Access status
openAccess
Accepted for publication
2015-08-18
Institution
Department
Awarded
Embargo end date
Collections
Additional title
Abstract
Modern cardiac x-ray imaging systems regulate their radiation output based on the thickness of the
patient to maintain an acceptable signal at the input of the x-ray detector. This approach does not account for the
context of the examination or the content of the image displayed. We have developed a machine vision algorithm
that detects iodine-filled blood vessels and fits an idealized vessel model with the key parameters of contrast,
diameter, and linear attenuation coefficient. The spatio-temporal distribution of the linear attenuation coefficient
samples, when appropriately arranged, can be described by a simple linear relationship, despite the complexity
of scene information. The algorithm was tested on static anthropomorphic chest phantom images under different
radiographic factors and 60 dynamic clinical image sequences. It was found to be robust and sensitive to
changes in vessel contrast resulting from variations in system parameters. The machine vision algorithm
has the potential of extracting real-time context sensitive information that may be used for augmenting existing
dose control strategies.
Version
Published version
Citation
Kengyelics SM, Gislason-Lee AJ, Keeble C et al (2015) Context sensitive cardiac x-ray imaging: a machine vision approach to x-ray dose control. Journal of Electronic Imaging. 24(5): 051002.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Article