LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity
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DOI：
10.1158/0008-5472.can-18-0125
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发表时间：
2018-08-15
期刊：
影响因子：
11.2
通讯作者：
Buvat, Irene
中科院分区：
文献类型：
--
作者：
Nioche, Christophe;Orlhac, Fanny;Buvat, Irene
纹理和形状分析在医学成像中获得了相当大的兴趣，特别是识别表征肿瘤异质性的参数和馈送放射组学模型。在这里，我们提出了一个免费的，多平台的，易于使用的免费软件称为LIFEx，它可以从PET，SPECT，MR，CT和US图像，或从任何组合的成像模式计算传统的，基于直方图的，纹理和形状特征。该应用程序不需要任何编程技能，是为医学成像专业人员开发的。我们的目标是，可以收集放射组学特征用于表征肿瘤异质性和后续患者管理的有用性和局限性的独立和多中心证据。为交互式纹理指数计算和提高中心之间的再现性提供了许多选项。该软件已经受益于一个大的用户社区（超过800注册用户），该社区内的互动是开发strategy.Significance的一部分：这项研究提出了一个用户友好的，多平台的免费软件，从PET，SPECT，MR，CT和US图像，或任何组合的成像方式提取放射组学特征。(C)2018年AACR。
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, multiplatform freeware to extract radiomic features from PET, SPECT, MR, CT, and US images, or any combination of imaging modalities. (C) 2018 AACR.