Subband denoising technique for dynamic FDOPA-PET images

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

doi:10.1117/12.383417

Subband denoising technique for dynamic FDOPA-PET images

Kang Ping Lin^*, Hong Dun Lin, Chin Lung Yu, Liang Chih Wu, Ren Shyan Liu

^*此作品的通信作者

生物醫學影像暨放射科學系

研究成果: Conference article › 同行評審

摘要

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 effected 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.

原文	English
頁（從 - 到）	354-363
頁數	10
期刊	Proceedings of SPIE - The International Society for Optical Engineering
卷	3978
DOIs	https://doi.org/10.1117/12.383417
出版狀態	Published - 4月 2000
事件	Medical Imaging 2000: Physiology and Function from Multidimensional Images - San Diego, CA, USA 持續時間: 13 2月 2000 → 15 2月 2000

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10.1117/12.383417

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title = "Subband denoising technique for dynamic FDOPA-PET images",

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 effected 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.",

author = "Lin, {Kang Ping} and Lin, {Hong Dun} and Yu, {Chin Lung} and Wu, {Liang Chih} and Liu, {Ren Shyan}",

year = "2000",

month = apr,

doi = "10.1117/12.383417",

language = "English",

volume = "3978",

pages = "354--363",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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publisher = "SPIE",

note = "Medical Imaging 2000: Physiology and Function from Multidimensional Images ; Conference date: 13-02-2000 Through 15-02-2000",

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TY - JOUR

T1 - Subband denoising technique for dynamic FDOPA-PET images

AU - Lin, Kang Ping

AU - Lin, Hong Dun

AU - Yu, Chin Lung

AU - Wu, Liang Chih

AU - Liu, Ren Shyan

PY - 2000/4

Y1 - 2000/4

N2 - 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 effected 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.

AB - 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 effected 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.

UR - http://www.scopus.com/inward/record.url?scp=0033727938&partnerID=8YFLogxK

U2 - 10.1117/12.383417

DO - 10.1117/12.383417

M3 - Conference article

AN - SCOPUS:0033727938

SN - 0277-786X

VL - 3978

SP - 354

EP - 363

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Medical Imaging 2000: Physiology and Function from Multidimensional Images

Y2 - 13 February 2000 through 15 February 2000

ER -

Subband denoising technique for dynamic FDOPA-PET images

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