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Reference Region Automatic Extraction in Dynamic [11C]PIB
https://repo.qst.go.jp/records/46680
https://repo.qst.go.jp/records/4668008273ee1-6785-4083-a1e1-4f8fb5e07e84
Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2013-12-12 | |||||
タイトル | ||||||
タイトル | Reference Region Automatic Extraction in Dynamic [11C]PIB | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Ikoma, Yoko
× Ikoma, Yoko× Edison, Paul× Ramlackhansingh, Anil× E., Turkheimer Federico× et.al× 生駒 洋子 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The positron emission tomography (PET) radiotracer [11C]Pittsburgh Compound B (PIB) is a marker of amyloid plaque deposition in brain, and binding potential is usually quantified using the cerebellum as a reference where the specific binding is negligible. The use of the cerebellum as a reference, however, has been questioned by the reported cerebellar [11C]PIB retention in familial Alzheimer's disease (AD) subjects. In this work, we developed a supervised clustering procedure for the automatic extraction of a reference region in [11C]PIB studies. Supervised clustering models each gray matter voxel as the linear combination of three predefined kinetic classes, normal and lesion gray matter, and blood pool, and extract reference voxels in which the contribution of the normal gray matter class is high. In the validation with idiopathic AD subjects, supervised clustering extracted reference voxels mostly in the cerebellum that indicated little specific [11C]PIB binding, and total distribution volumes of the extracted region were lower than those of the cerebellum. Next, the methodology was applied to the familial AD cohort where the cerebellar amyloid load had been demonstrated previously, resulting in higher binding potential compared with that obtained with the cerebellar reference. The supervised clustering method is a useful tool for the accurate quantification of [11C]PIB studies. | |||||
書誌情報 |
Journal of Cerebral Blood Flow and Metabolism 巻 33, 号 11, p. 1725-1731, 発行日 2013-08 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0271-678X | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1038/jcbfm.2013.133 |