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Proceedings Paper

Radiation dose reduction in digital radiography using wavelet-based image processing methods
Author(s): Haruyuki Watanabe; Du-Yih Tsai; Yongbum Lee; Eri Matsuyama; Katsuyuki Kojima
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Paper Abstract

In this paper, we investigate the effect of the use of wavelet transform for image processing on radiation dose reduction in computed radiography (CR), by measuring various physical characteristics of the wavelet-transformed images. Moreover, we propose a wavelet-based method for offering a possibility to reduce radiation dose while maintaining a clinically acceptable image quality. The proposed method integrates the advantages of a previously proposed technique, i.e., sigmoid-type transfer curve for wavelet coefficient weighting adjustment technique, as well as a wavelet soft-thresholding technique. The former can improve contrast and spatial resolution of CR images, the latter is able to improve the performance of image noise. In the investigation of physical characteristics, modulation transfer function, noise power spectrum, and contrast-to-noise ratio of CR images processed by the proposed method and other different methods were measured and compared. Furthermore, visual evaluation was performed using Scheffe's pair comparison method. Experimental results showed that the proposed method could improve overall image quality as compared to other methods. Our visual evaluation showed that an approximately 40% reduction in exposure dose might be achieved in hip joint radiography by using the proposed method.

Paper Details

Date Published: 3 March 2011
PDF: 10 pages
Proc. SPIE 7966, Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment, 79661T (3 March 2011); doi: 10.1117/12.877740
Show Author Affiliations
Haruyuki Watanabe, Niigata Univ. (Japan)
Du-Yih Tsai, Niigata Univ. (Japan)
Yongbum Lee, Niigata Univ. (Japan)
Eri Matsuyama, Niigata Univ. (Japan)
Katsuyuki Kojima, Hamamatsu Univ. (Japan)


Published in SPIE Proceedings Vol. 7966:
Medical Imaging 2011: Image Perception, Observer Performance, and Technology Assessment
David J. Manning; Craig K. Abbey, Editor(s)

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