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

Yen-wei Chen; Xianhua Han

doi:10.1117/12.652043

20 March 2006 ICA domain filtering for reduction of noise in x-ray images

Yen-wei Chen, Xianhua Han

Proceedings Volume 6144, Medical Imaging 2006: Image Processing; 614469 (2006) https://doi.org/10.1117/12.652043
Event: Medical Imaging, 2006, San Diego, California, United States

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

Citation Download Citation

Yen-wei Chen and Xianhua Han "ICA domain filtering for reduction of noise in x-ray images", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 614469 (20 March 2006); https://doi.org/10.1117/12.652043

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