Reduction of anatomical noise in medical X-ray images
- 17 May 2005
- journal article
- research article
- Published by Oxford University Press (OUP) in Radiation Protection Dosimetry
- Vol. 114 (1-3) , 69-74
- https://doi.org/10.1093/rpd/nch518
Abstract
The X-ray pattern of a mass of very fine non-distinguishable anatomical structures alters completely from radiograph to radiograph due to the unavoidable movements of the patient during the exposure. The corresponding image component shows noise-like behaviour and is therefore referred to as the anatomical noise. Reducing this component would enhance the quality of the clinical X-ray image and increase the detectability of radiological signal. We have found that by comparing two X-ray images of the same anatomy acquired under slightly different imaging geometry, it is possible to reduce the anatomical noise in one of the image pair. The proposed method, which allows this, is based on the appropriate attenuation in the wavelet domain. The values of attenuating factors for the wavelet coefficients are proportional to the correlation between the corresponding features of both images. This method was tested for different changes in the imaging geometry. In the case of no geometrical changes, only the quantum and the electronic noise are reduced. An effect of de-noising for the investigated images is obvious.Keywords
This publication has 9 references indexed in Scilit:
- Evaluation of a novel method of noise reduction using computer-simulated mammogramsRadiation Protection Dosimetry, 2005
- Nodule detection in digital chest radiography: effect of anatomical noiseRadiation Protection Dosimetry, 2005
- Determination of the x-ray intensity pattern in mammography with very high-spatial resolutionPublished by SPIE-Intl Soc Optical Eng ,2000
- High-spatial-resolution measurement of x-ray intensity pattern in a radiograph of the thoraxPublished by SPIE-Intl Soc Optical Eng ,1999
- Ideal spatial adaptation by wavelet shrinkageBiometrika, 1994
- Characterization of signals from multiscale edgesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Ten Lectures on WaveletsPublished by Society for Industrial & Applied Mathematics (SIAM) ,1992
- A Real-Time Algorithm for Signal Analysis with the Help of the Wavelet TransformPublished by Springer Nature ,1989
- Filter banks allowing perfect reconstructionSignal Processing, 1986