A method to optimize the processing algorithm of a computed radiography system for chest radiography

A test methodology using an anthropomorphic-equivalent chest phantom is described for the optimization of the Agfa computed radiography "MUSICA" processing algorithm for chest radiography. The contrast-to-noise ratio (CNR) in the lung, heart and diaphragm regions of the phantom, and the &q...

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Bibliographic Details
Published in:British journal of radiology 2007-09, Vol.80 (957), p.724-730
Main Authors: MOORE, C. S, LINEY, G. P, BEAVIS, A. W, SAUNDERSON, J. R
Format: Article
Language:English
Subjects:
Algorithms
Biological and medical sciences
Humans
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Phantoms, Imaging
Radiodiagnosis. Nmr imagery. Nmr spectrometry
Radiographic Image Enhancement - methods
Radiographic Image Interpretation, Computer-Assisted - methods
Radiography, Thoracic - instrumentation
Radiography, Thoracic - methods
Respiratory system
Tomography, X-Ray Computed - instrumentation
Tomography, X-Ray Computed - methods
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Summary:A test methodology using an anthropomorphic-equivalent chest phantom is described for the optimization of the Agfa computed radiography "MUSICA" processing algorithm for chest radiography. The contrast-to-noise ratio (CNR) in the lung, heart and diaphragm regions of the phantom, and the "system modulation transfer function" (sMTF) in the lung region, were measured using test tools embedded in the phantom. Using these parameters the MUSICA processing algorithm was optimized with respect to low-contrast detectability and spatial resolution. Two optimum "MUSICA parameter sets" were derived respectively for maximizing the CNR and sMTF in each region of the phantom. Further work is required to find the relative importance of low-contrast detectability and spatial resolution in chest images, from which the definitive optimum MUSICA parameter set can then be derived. Prior to this further work, a compromised optimum MUSICA parameter set was applied to a range of clinical images. A group of experienced image evaluators scored these images alongside images produced from the same radiographs using the MUSICA parameter set in clinical use at the time. The compromised optimum MUSICA parameter set was shown to produce measurably better images.
ISSN:0007-1285
1748-880X
DOI:10.1259/bjr/33261679