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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_Graphical Abstract_web.jpg

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

Abstract

Textural and shape analysis is gaining considerable interest in medical imaging, particularly to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here we present a free, multiplatform, and easy-to-use freeware called LIFEx, which enables the calculation of conventional, histogram-based textural and shape features from PET, SPECT, MR, CT, and US images, or from any combination of imaging modalities. The application does not require any programming skills and was developed for medical imaging professionals. The goal is that independent and multicenter evidence of the usefulness and limitations of radiomic features for characterization of tumor heterogeneity and subsequent patient management can be gathered. Many options are offered for interactive textural index calculation and for increasing the reproducibility among centers. The software already benefits from a large user community (more than 800 registered users), and interactions within that community are part of the development strategy.

 

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Cancer Research 2018; 78(16):4786-4789

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Authors Information

Texture protocol : Christophe Nioche, Fanny Orlhac, Irène Buvat
MTV protocol: Christophe Nioche, Anne-Ségolène Cottereau, Irène Buvat
DSC-MR protocol: Christophe Nioche, Frédérique Frouin

 

LITO, CEA, Inserm, CNRS, Univ. Paris-Sud, Université Paris Saclay

Institut Curie Centre De Recherche
Centre Universitaire
Bâtiments 101B
Rue Henri Becquerel
91898 ORSAY CEDEX

 

Acknowledgments: Sylvain Reuze, Sarah Boughdad, Maya Khalifé

                                      

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LITO
Institut Curie Centre De Recherche
Centre Universitaire
Bâtiments 101B
Rue Henri Becquerel
91898 ORSAY CEDEX
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