FDG-PET Template for spatial normalization (instead of SPM 15O PET Template)

[IKDRipp]

Rosa et al., 2014 used a neurodegenarzive FDG specific PET Template for spatial normalization:
https://www.ncbi.nlm.nih.gov/pubmed/24952892

Akdemir analysed effects of spatial normalization using the 15O-PET SPM template, Rosa et al., 2014 FDG-PET neurodegenrative template AND their own institutional FDG-PET template derived from "brain-healthy": "The Effect of Spatial Normalization of Brain 18F-FDG PET-MR Images Using SPM and Different PET Templates"
http://jnm.snmjournals.org/content/58/supplement_1/1260

It could be interesting implementing these FDG-PET templates in Pypes. I will contact them, to ask, whether they made their templates public!

[alexsavio]

Thanks for the issue @IKDRipp. I could not read it yet (no access from home), but maybe they mention if they made it public in the paper?

[IKDRipp]

I uploaded a publicly available FDG-PET Template https://github.com/Neurita/pypes/tree/master/neuro_pypes/TEMPLATE_FDGPET_100_SPM5_8

from:

http://inlab.ibfm.cnr.it/inlab/PET_template.php

Infos:

Dementia-Specific [18F]FDG-PET template for SPM normalization.

The Dementia-Specific [18F]-FDG-PET template is intended for use as templates for SPM automated normalization. Created for SPM5 but compatible with previous SPM99, SPM2 and with following SPM8 and SPM12b. Available in .hdr/.img format (for SPM99 and SPM2) and NifTI file format (for SPM5, SPM8 and SPM12b). The Dementia-Specific [18F]-FDG-PET template is an average (after spatial normalization of [18F]-FDG-PET images) from 100 images (50 controls and 50 patients). The EADC PET group has contributed 113 cases for the healthy normal dataset, and 48 for the template. The EADC PET group is made of scientists at Hosp S Martino, Genova (IT); IRCCS Fatebenefratelli and Hosp Civile, Brescia (IT); Vrije Universiteit Medical Centre, Amsterdam (NL); Technische Universitet Munich, Munich (GE); and Hôpitaux de Marseille, Marseille (FR).For more informations, click here
Terms of use
The Dementia-Specific [18F]-FDG-PET template is distributed freely to the neuroimaging community for non-commercial research purposes. The user who download the template can not modify, copy, distribute, transmit, display, perform, reproduce, publish, license, create derivative works from the template, or to sell software, products or services obtained from the template. However, we do ask that you please cite the following references in any publications which make use of this image: 1. Della Rosa P.A., Cerami C., Gallivanone F., Prestia A., Caroli A., Castiglioni I., Gilardi M.C., Frisoni G., Friston K., Ashburner J., Perani D. and the EADC-PET Consortium. A Standardized [18F]-FDG-PET Template for Spatial Normalization in Statistical Parametric Mapping of Dementia.Neuroinformatics. 2014 Oct;12(4):575-93. doi: 10.1007/s12021-014-9235-4.2. Perani D., Della Rosa P.A., Cerami C., Gallivanone F., Fallanca F., Vanoli E.G., Panzacchi A., Nobili F., Pappatà S., Marcone A., Garibotto V., Castiglioni I., Magnani G., Cappa S.F., Gianolli L., EADC-PET Consortium. Validation of an optimized SPM procedure for FDG-PET in dementia diagnosis in a clinical setting. Neuroimage Clin. 2014 Oct 24;6:445-54. doi: 10.1016/j.nicl.2014.10.009.Unless expressly stated otherwise, the authors make no warranties about the work, and disclaims liability for all uses of the work. When using or citing the work, you should not imply endorsement by the author.

[alexsavio]

Dear @IKDRipp , could you please now remove it from there, since it is not a good place?
And next time you want to push something to the repository, please make a pull request. Next time we meet we can through the pull request process, again. ;)

Please upload it to std_brains, through a pull request.

[alexsavio]

Also, please read the license:

The user who download the template can not modify, copy, distribute, transmit, display, perform, reproduce, publish, license, create derivative works from the template, or to sell software, products or services obtained from the template.

Please, be more careful.

[IKDRipp]

Yes, noticed. I will be more careful!