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Proceedings Paper

Subband denoising technique for dynamic FDOPA-PET images
Author(s): Kang-Ping Lin; Hong-Dun Lin; Chin-Lung Yu; Liang-Chi Wu; Ren-Shyan Liu
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Paper Abstract

Since the positron emission tomographic (PET) image shows the abnormal activity of brain by the different parts of the brain respond to different stimuli and the patient's response to noise, illumination, change in mental concentration, and other activity, the functional PET image data is much helpful for clinical diagnosis. However, the PET image is also a high noise image that the quality of the PET image and the diagnosis accuracy is affected by the noise. To improve the quality problem of PET image, a novel subband denoising technique is provided in this paper. The method is based on the subband transformation and the statistical features in each subbands of the PET image.

Paper Details

Date Published: 20 April 2000
PDF: 10 pages
Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); doi: 10.1117/12.383417
Show Author Affiliations
Kang-Ping Lin, Chung Yuan Univ. (Taiwan)
Hong-Dun Lin, Chung Yuan Univ. (Taiwan)
Chin-Lung Yu, Taipei Veterans General Hospital (Taiwan)
Liang-Chi Wu, Taipei Veterans General Hospital (Taiwan)
Ren-Shyan Liu, Taipei Veterans General Hospital (Taiwan)

Published in SPIE Proceedings Vol. 3978:
Medical Imaging 2000: Physiology and Function from Multidimensional Images
Chin-Tu Chen; Anne V. Clough, Editor(s)

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