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.Significance:
This study presents a user-friendly, multi-platform freeware to extract radiomic features
from PET, SPECT, MR, CT, and US images, or any combination of imaging modalities.
Cancer Res; 78(16); 4786-9. ©2018 AACR.