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Proceedings Paper

Evaluation of lumbar spine images with added pathology
Author(s): Anders Tingberg; Clemens Herrmann; Jack Besjakov; Karsten Rodenacker; Anja Alman; Patrik Sund; Saron Mattsson; Lars Gunnar Mansson
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Paper Abstract

Optimization of radiographic procedures require solid tools for evaluation of the image quality in order to ensure that it is sufficient to answer the clinical question at the lowest possible absorbed dose to the patient. Lumbar spine radiography is an examination giving a relatively high dose and good methods for evaluation of image quality as well as dose are needed. We have developed and used a method for the addition of artificial pathological structures into clinical images. The new images were evaluated in a study of detectability (free-response forced error experiment). The results from the study showed that the methodology can be used to detect differences in the screen-film systems used to produce the images, indicating that the method can be used in a study of image quality. The results of the study of detectability were compared with the outcome of a visual grading analysis based on the structures mentioned in the European Quality Criteria. The comparison indicated that a linear correlation exists between the two methods. This means that the simple VGA can be used in the evaluation of clinical image quality.

Paper Details

Date Published: 14 April 2000
PDF: 9 pages
Proc. SPIE 3981, Medical Imaging 2000: Image Perception and Performance, (14 April 2000); doi: 10.1117/12.383123
Show Author Affiliations
Anders Tingberg, Malmoe Univ. Hospital (Sweden)
Clemens Herrmann, GSF (Germany)
Jack Besjakov, Malmoe Univ. Hospital (Sweden)
Karsten Rodenacker, GSF (Germany)
Anja Alman, Malmoe Univ. Hospital (Sweden)
Patrik Sund, Sahlgrenska Univ. Hospital (Sweden)
Saron Mattsson, Malmoe Univ. Hospital (Sweden)
Lars Gunnar Mansson, Sahlgrenska Univ. Hospital (Sweden)

Published in SPIE Proceedings Vol. 3981:
Medical Imaging 2000: Image Perception and Performance
Elizabeth A. Krupinski, Editor(s)

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