Awards of LIFEx
The Best of the AACR journals,
The most-cited research articles:
The most-cited research articles:
C Nioche, F Orlhac, S Boughdad, S Reuzé, J Goya-Outi, C Robert, C Pellot-Barakat, M Soussan, F Frouin, and I Buvat. LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity. Cancer Research 2018; 78(16):4786-4789
You can always meet us at:
We are also attending many scientific meetings and conferences where you can meet us, such as the SNM Meeting, the EANM, and many others.
If you want to meet us there, please send us an email at This email address is being protected from spambots. You need JavaScript enabled to view it..
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MIP PET/CT | MIP PET/ROI | MIP PET |
LIFEx reads DICOM images locally or over a network using a DICOM browser and includes a powerful 3D reconstruction-based slice viewer. Volume of interest (VOI) can be either imported from previously created files or drawn and manipulated using LIFEx. Results are exported in Excel format files. LIFEx runs on Windows, MacOs and Linux. It is distributed with examples and includes a tutorial. User support is offered. Users can optionally contribute to the gathering of index values in different tissue types and different images as a public data bank of reference values is currently being built and integrated to the software for assisting the users with the interpretation of their results.
Texture protocol : Christophe Nioche, Fanny Orlhac, Irène Buvat
MTV protocol: Christophe Nioche, Anne-Ségolène Cottereau, Irène Buvat
DSC-MR protocol: Christophe Nioche, Sandrine Desmidt, Frédérique Frouin
Labeling protocol : Christophe Nioche, Fanny Orlhac, Irène Buvat
LITO, CEA, Inserm, CNRS, Univ. Paris-Sud, Université Paris Saclay
Acknowledgments: Sylvain Reuze, Sarah Boughdad, Maya Khalifé
LITO
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