Presentation 2013-07-18
Quantitative Analysis of Amyloid Deposits in PET/CT Images
Kei Sasaki, Norihide Maikusa, Tetsuya Yuasa, Etsuko Imabayashi, Hiroshi Matsuda,
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Abstract(in English) For early diagnosis of Alzheimer's disease (AD), it is effective to quantitatively evaluate deposits of amyloid into gray matter, which can be estimated from an Amyloid PET (Positron Emission Tomography) image. However, the deposit quantity in gray matter tends to be underestimated, which is caused by partial volume effect (PVE) due to the lower spatial resolution of PET. This study proposes a method to correct the PVE of a PET image using an X-ray CT image, where they are simultaneously acquired by PET/CT, and to restore the quantitative property in evaluating deposits of amyloid. We show the effectiveness by comparing the result based on an X-ray CT image with that based on an MRI image, obtained from a healthy volunteer.
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Keyword(in English) PET/CT / Alzheimer's disease / partial volume effect / amyloid imaging
Paper # MI2013-28
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Committee MI
Conference Date 2013/7/11(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Quantitative Analysis of Amyloid Deposits in PET/CT Images
Sub Title (in English)
Keyword(1) PET/CT
Keyword(2) Alzheimer's disease
Keyword(3) partial volume effect
Keyword(4) amyloid imaging
1st Author's Name Kei Sasaki
1st Author's Affiliation Graduate School of Science and Engineering, Yamagata University:National Center of Neurology and Psychiatry()
2nd Author's Name Norihide Maikusa
2nd Author's Affiliation National Center of Neurology and Psychiatry
3rd Author's Name Tetsuya Yuasa
3rd Author's Affiliation Graduate School of Science and Engineering, Yamagata University
4th Author's Name Etsuko Imabayashi
4th Author's Affiliation Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology
5th Author's Name Hiroshi Matsuda
5th Author's Affiliation National Center of Neurology and Psychiatry
Date 2013-07-18
Paper # MI2013-28
Volume (vol) vol.113
Number (no) 146
Page pp.pp.-
#Pages 5
Date of Issue