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Proceedings Paper

ICA domain filtering for reduction of noise in x-ray images
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Paper Abstract

Radiological imaging such as x-ray CT is one of the most important tools for medical diagnostics. Since the radiological images are always with some quantum noise and the reduction of quantum noise or Poisson noise in medical images is an important issue. In this paper, we propose a new filtering based on independent component analysis (ICA) for reduction of noise. In the proposed filtering, the image (projection) is first transformed to ICA domain and then the components of scattered x-ray are removed by a soft thresholding (Shrinkage). The proposed method has been demonstrated by using both standard images and Monte Carlo simulations. Experimental results show that the quality of the image can be dramatically improved without any blurring in edge by the proposed filter

Paper Details

Date Published: 20 March 2006
PDF: 8 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614469 (20 March 2006); doi: 10.1117/12.652043
Show Author Affiliations
Yen-wei Chen, Central South Forest Univ. (China)
Ritsumeikan Univ. (Japan)
Xianhua Han, Univ. of the Ryukyus (Japan)

Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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