Subband denoising technique for dynamic FDOPA-PET images

Kang-Ping Lin; Hong-Dun Lin; Chin-Lung Yu; Liang-Chi Wu; Ren-Shyan Liu

doi:10.1117/12.383417

20 April 2000 Subband denoising technique for dynamic FDOPA-PET images

Kang-Ping Lin, Hong-Dun Lin, Chin-Lung Yu, Liang-Chi Wu, Ren-Shyan Liu

Proceedings Volume 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images; (2000) https://doi.org/10.1117/12.383417
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

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.

Citation Download Citation

Kang-Ping Lin, Hong-Dun Lin, Chin-Lung Yu, Liang-Chi Wu, and Ren-Shyan Liu "Subband denoising technique for dynamic FDOPA-PET images", Proc. SPIE 3978, Medical Imaging 2000: Physiology and Function from Multidimensional Images, (20 April 2000); https://doi.org/10.1117/12.383417

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