Title | ||
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Data-driven identification of intensity normalization region based on longitudinal coherency of F-FDG metabolism in the healthy brain. |
Abstract | ||
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•A method to differentiate disease-related metabolic changes from age-associated natural changes.•A concept of longitudinal coherency to identify proper age-associated metabolic changes.•A data-driven method to find out optimal intensity normalization enhancing longitudinal coherency.•Normalization using paracentral lobule can best describe age-dependent brain metabolism.•Development on normal subjects and preliminary verification on PD patients. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.neuroimage.2016.09.031 | NeuroImage |
Keywords | Field | DocType |
18F-FDG,PET,SMC,PD,AAL,STDN,3D-SSP,PVC | Nuclear medicine,Confounding,Neuroscience,Normalization (statistics),Cognitive psychology,Psychology,Coherence (physics),Positron emission tomography,Cerebellar tonsil,Paracentral lobule | Journal |
Volume | ISSN | Citations |
146 | 1053-8119 | 1 |
PageRank | References | Authors |
0.48 | 4 | 11 |
Name | Order | Citations | PageRank |
---|---|---|---|
Huiwei Zhang | 1 | 1 | 0.48 |
Ping Wu | 2 | 2 | 1.18 |
Sibylle I Ziegler | 3 | 27 | 4.59 |
Yihui Guan | 4 | 1 | 0.48 |
Yuetao Wang | 5 | 1 | 0.48 |
Jingjie Ge | 6 | 1 | 0.48 |
Markus Schwaiger | 7 | 2 | 0.85 |
Sung-Cheng Huang | 8 | 148 | 22.43 |
Chuantao Zuo | 9 | 1 | 2.85 |
Stefan Förster | 10 | 2 | 0.86 |
Kuangyu Shi | 11 | 36 | 8.12 |