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首页> 外文期刊>European Journal of Nuclear Medicine and Molecular Imaging >AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics
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AI-based applications in hybrid imaging: how to build smart and truly multi-parametric decision models for radiomics

机译:混合成像的基于AI的应用:如何为辐射瘤构建智能和真正的多参数决策模型

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摘要

Introduction The quantitative imaging features (radiomics) that can be obtained from the different modalities of current-generation hybrid imaging can give complementary information with regard to the tumour environment, as they measure different morphologic and functional imaging properties. These multi-parametric image descriptors can be combined with artificial intelligence applications into predictive models. It is now the time for hybrid PET/CT and PET/MRI to take the advantage offered by radiomics to assess the added clinical benefit of using multi-parametric models for the personalized diagnosis and prognosis of different disease phenotypes.
机译:引言可以从当前发生的混合成像的不同模式获得的定量成像特征(辐射瘤)可以提供关于肿瘤环境的互补信息,因为它们测量了不同的形态学和功能性成像性质。 这些多参数图像描述符可以与人工智能应用程序组合成预测模型。 现在是混合宠物/ CT和PET / MRI采取射线学提供的优势的时间,以评估利用多参数模型进行不同疾病表型的个性化诊断和预后的临床益处。

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