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Content Provider | IEEE Xplore Digital Library |
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Author | Green, G.C. Cuhadar, A. deKemp, R.A. |
Copyright Year | 2004 |
Description | Author affiliation: Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada (Green, G.C.; Cuhadar, A.) |
Abstract | /sup 82/Rb positron emission tomography (PET) images can be used to diagnose coronary artery disease (CAD), but deterioration of the images due to noise can compromise their quality. This work presents our work on a wavelet-based thresholding method for denoising cardiac /sup 82/Rb PET images. Our approach is based on a three-dimensional (3D) discrete dyadic wavelet transform, with iterative thresholding of coefficients being performed in a spatially adaptive context. A subjective analysis indicates that this technique leads to better discrimination between diagnostically significant features and noise when observing the denoised images and the corresponding cardiac polar maps. Results are presented for cardiac PET images of a normal subject (low risk of CAD) using a figure of merit based on expected image properties for such a patient. The increase in image quality is substantial when the proposed method is compared to conventional denoising protocols. |
Starting Page | 1605 |
Ending Page | 1608 |
File Size | 235243 |
Page Count | 4 |
File Format | |
ISBN | 0780384393 |
DOI | 10.1109/IEMBS.2004.1403487 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2004-09-01 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Positron emission tomography Discrete wavelet transforms Noise reduction Heart Coronary arteriosclerosis Cardiology Myocardium Systems engineering and theory Iterative methods Image analysis |
Content Type | Text |
Resource Type | Article |
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