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Validation of a spa...
Validation of a spatial normalization method using a principal component derived adaptive template for [18F]florbetaben PET
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- Leuzy, Antoine (author)
- Lund Univ Malmö, Dept Clin Sci, Clin Memory Res Unit, Malmö, Sweden.
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- Heurling, Kerstin (author)
- Antaros Med, Mölndal, Sweden.
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- De Santi, Susan (author)
- Life Mol Imaging Inc, Boston, MA USA.
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- Bullich, Santiago (author)
- Life Mol Imaging Inc, Boston, MA USA.
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- Hansson, Oskar (author)
- Lund Univ Malmö, Dept Clin Sci, Clin Memory Res Unit, Malmö, Sweden.;Skane Univ Hosp, Memory Clin, Lund, Sweden.
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- Lilja, Johan (author)
- Uppsala universitet,Radiologi,Lund Univ Malmö, Dept Clin Sci, Clin Memory Res Unit, Malmö, Sweden.;Hermes Med Solut, Stockholm, Sweden
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Lund Univ Malmö, Dept Clin Sci, Clin Memory Res Unit, Malmö, Sweden Antaros Med, Mölndal, Sweden. (creator_code:org_t)
- E-CENTURY PUBLISHING CORP, 2020
- 2020
- English.
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In: American Journal of Nuclear Medicine and Molecular Imaging. - : E-CENTURY PUBLISHING CORP. - 2160-8407. ; 10:4, s. 161-167
- Related links:
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https://urn.kb.se/re...
Abstract
Subject headings
Close
- Quantification may help in the context of amyloid-beta positron emission tomography (PET). Quantification typically requires that PET images be spatially normalized, a process that can be subject to bias. We herein aimed to test whether a principal component approach (PCA) previously applied to [F-18]flutemetamol PET extends to [F-18] florbetaben. PCA was applied to [F-18]florbetaben PET data for 132 subjects (70 Alzheimer dementia, 62 controls) and used to generate an adaptive synthetic template. Spatial normalization of [F-18]florbetaben data using this approach was compared to that achieved using SPM12's magnetic resonance (MR) imaging driven algorithm. The two registration methods showed high agreement and minimal difference in standardized uptake value ratios (SUVR) (R-2 = 0.997 using cerebellum as reference region and 0.996 using the pons). Our method allows for robust and accurate registration of [F-18]florbetaben images to template space, without the need for an MR image, and may prove of value in clinical and research settings.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Keyword
- Alzheimer's disease
- Amyloid-beta
- PET
- [F-18]florbetaben
- adaptive template
Publication and Content Type
- ref (subject category)
- art (subject category)
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