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Fast, Easy-to-use & Free!

LIFEx is an easy-to-use freeware enabling calculation of a broad range of conventional, textural and shape indices from PET, MR, US and CT images.

1
Fast
This application allowed you to efficiently perform textural analysis and radiomic feature measurements from PET, CT, US and MR images. Calculations are performed in real time and results are returned in a .xls spreadsheet.
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2
Easy-to-use
This application is user-friendly and focuses on textural analysis.
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3
Free
Distributed under a CEA license upon registration
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LIFEx, Cancer Research 2018

LIFEx: a freeware for radiomic feature calculation in multimodality imaging to accelerate advances in the characterization of tumor heterogeneity

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

LIFEx v4.90 now available

LIFEx reads DICOM images locally or over a network using a DICOM browser, is compatible with Osirix 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.

Meet us

We will be present at:

  • PSMR conference in Munich April 2019,
  • SNM meeting in Anaheim in June 2019,
  • EANM meeting in Barcelona in October 2019.

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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Authors Information

Christophe Nioche, Fanny Orlhac, Irène Buvat

IMIV, CEA, Inserm, CNRS, Univ. Paris-Sud, Université Paris Saclay, CEA-SHFJ, 91400, Orsay, France

 

Acknowledgments: Sylvain Reuze, Sarah Boughdad, Maya Khalifé

                                      

Contact Us

 
IMIV, CEA
SHFJ, 4 place du Général Leclerc
91400, Orsay, France
 
 
This email address is being protected from spambots. You need JavaScript enabled to view it.