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Proceedings Paper

Physical characterization of digital radiological images by use of transmitted information metric
Author(s): Eri Matsuyama; Du-Yih Tsai; Yongbum Lee; Masaru Sekiya; Katsuyuki Kojima
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Paper Abstract

This paper presents an information-entropy based metric for combined evaluation of resolution and noise properties of radiological images. The metric is expressed by the amount of transmitted information (TI). It is a measure of how much information that one image contains about an object or an input. Merits of the proposed method are its simplicity of computation and the experimented setup. A computer-simulated step wedge was used for simulation study on the relationship of TI and the degree of blur as well as the noise. Three acrylic step wedges were also manufactured and used as test sample objects for experiments. Two imaging plates for computed radiography were employed as information detectors to record X-ray intensities. We investigated the effects of noise and resolution degradation on the amount of TI by varying exposure levels. Simulation and experimental results show that the TI value varies when the noise level or the degree of blur is changed. To validate the reasoning and usefulness of the proposed metric, we also calculated and compared the modulation transfer functions and noise power spectra for the employed imaging plates. Results show that the TI has close correlation with both image noise and image blurring, and it may offer the potential to become a simple and generally applicable measure for quality evaluation of medical images.

Paper Details

Date Published: 18 March 2008
PDF: 8 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69130V (18 March 2008); doi: 10.1117/12.768324
Show Author Affiliations
Eri Matsuyama, Niigata Univ. (Japan)
Du-Yih Tsai, Niigata Univ. (Japan)
Yongbum Lee, Niigata Univ. (Japan)
Masaru Sekiya, Niigata Univ. (Japan)
Katsuyuki Kojima, Univ. of Hamamatsu (Japan)


Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)

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