Name
Title | ||
|---|---|---|
Optimization of preprocessing strategies in Positron Emission Tomography (PET) neuroimaging: A [ 11 C]DASB PET study. |
Abstract | ||
|---|---|---|
Positron Emission Tomography (PET) is an important neuroimaging tool to quantify the distribution of specific molecules in the brain. The quantification is based on a series of individually designed data preprocessing steps (pipeline) and an optimal preprocessing strategy is per definition associated with less noise and improved statistical power, potentially allowing for more valid neurobiological interpretations. In spite of this, it is currently unclear how to design the best preprocessing pipeline and to what extent the choice of each preprocessing step in the pipeline minimizes subject-specific errors. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.neuroimage.2019.05.055 | NeuroImage |
Keywords | DocType | Volume |
Positron emission tomography,Preprocessing,Head motion,Optimization,Partial volume correction,Kinetic modeling,Test-retest,[11C]DASB | Journal | 199 |
ISSN | Citations | PageRank |
1053-8119 | 1 | 0.43 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Nørgaard | 1 | 3 | 1.31 |
| Melanie Ganz | 2 | 25 | 6.87 |
| Claus Svarer | 3 | 115 | 39.44 |
| Vibe G Frokjaer | 4 | 14 | 5.32 |
| Douglas N. Greve | 5 | 777 | 49.66 |
| Stephen C. Strother | 6 | 399 | 56.31 |
| Gitte M. Knudsen | 7 | 89 | 17.15 |