Paper
18 March 2008 Physical characterization of digital radiological images by use of transmitted information metric
Author Affiliations +
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eri Matsuyama, Du-Yih Tsai, Yongbum Lee, Masaru Sekiya, and Katsuyuki Kojima "Physical characterization of digital radiological images by use of transmitted information metric", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69130V (18 March 2008); https://doi.org/10.1117/12.768324
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Cited by 3 scholarly publications.
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KEYWORDS
Imaging systems

Medical imaging

Modulation transfer functions

Image quality

Image resolution

Image information entropy

X-rays

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