Optimizing PiB-PET SUVR change-over-time measurement by a large-scale analysis of longitudinal reliability, plausibility, separability, and correlation with MMSE-Reference-Cited by-同舟云学术

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Optimizing PiB-PET SUVR change-over-time measurement by a large-scale analysis of longitudinal reliability, plausibility, separability, and correlation with MMSE

Published:2017-01 Issue: Volume:144 Page:113-127
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Schwarz Christopher G.,Senjem Matthew L.,Gunter Jeffrey L.,Tosakulwong Nirubol,Weigand Stephen D.,Kemp Bradley J.,Spychalla Anthony J.,Vemuri Prashanthi,Petersen Ronald C.,Lowe Val J.,Jack Clifford R.

Funder

NIH

The Alexander Family Professorship of Alzheimer's Disease Research, Mayo Clinic

GHR Foundation

Elsie and Marvin Dekelboum Family Foundation

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference50 articles.

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4. Deformation field correction for spatial normalization of PET images;Bilgel;Neuroimage,2015

5. Data-driven intensity normalization of PET group comparison studies is superior to global mean normalization;Borghammer;Neuroimage,2009

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