| Title |
Optimization of brain PET imaging for a multicentre trial: the French CATI experience
|
|---|---|
| Published in |
EJNMMI Physics, April 2016
|
| DOI | 10.1186/s40658-016-0141-8 |
| Pubmed ID | |
| Authors |
Marie-Odile Habert, Sullivan Marie, Hugo Bertin, Moana Reynal, Jean-Baptiste Martini, Mamadou Diallo, Aurélie Kas, Régine Trébossen |
| Abstract |
CATI is a French initiative launched in 2010 to handle the neuroimaging of a large cohort of subjects recruited for an Alzheimer's research program called MEMENTO. This paper presents our test protocol and results obtained for the 22 PET centres (overall 13 different scanners) involved in the MEMENTO cohort. We determined acquisition parameters using phantom experiments prior to patient studies, with the aim of optimizing PET quantitative values to the highest possible per site, while reducing, if possible, variability across centres. Jaszczak's and 3D-Hoffman's phantom measurements were used to assess image spatial resolution (ISR), recovery coefficients (RC) in hot and cold spheres, and signal-to-noise ratio (SNR). For each centre, the optimal reconstruction parameters were chosen as those maximizing ISR and RC without a noticeable decrease in SNR. Point-spread-function (PSF) modelling reconstructions were discarded. The three figures of merit extracted from the images reconstructed with optimized parameters and routine schemes were compared, as were volumes of interest ratios extracted from Hoffman acquisitions. The net effect of the 3D-OSEM reconstruction parameter optimization was investigated on a subset of 18 scanners without PSF modelling reconstruction. Compared to the routine parameters of the 22 PET centres, average RC in the two smallest hot and cold spheres and average ISR remained stable or were improved with the optimized reconstruction, at the expense of slight SNR degradation, while the dispersion of values was reduced. For the subset of scanners without PSF modelling, the mean RC of the smallest hot sphere obtained with the optimized reconstruction was significantly higher than with routine reconstruction. The putamen and caudate-to-white matter ratios measured on 3D-Hoffman acquisitions of all centres were also significantly improved by the optimization, while the variance was reduced. This study provides guidelines for optimizing quantitative results for multicentric PET neuroimaging trials. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 19% |
| Researcher | 5 | 16% |
| Student > Master | 5 | 16% |
| Student > Bachelor | 4 | 13% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 7 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 45% |
| Engineering | 3 | 10% |
| Agricultural and Biological Sciences | 2 | 6% |
| Physics and Astronomy | 2 | 6% |
| Neuroscience | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 6 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2016.
All research outputs
#15,813,904
of 23,577,654 outputs
Outputs from EJNMMI Physics
#74
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#182,085
of 302,459 outputs
Outputs of similar age from EJNMMI Physics
#1
of 2 outputs
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