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English(EN) Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI

新的放射组学框架解耦CT/MRI中的体素几何与信号变化

作者 PulseAugur 编辑部 · [3 个来源] ·

研究人员开发了一个新的放射组学框架，该框架考虑了医学成像（特别是计算机断层扫描（CT）和磁共振成像（MRI））中的体素间距。这种体素间距感知（VS）方法旨在将真实的体素几何与各向异性图像中常见的插值引起的信号变化分离开来。实验表明，在一致性方面，VS方法与原始的、未重采样提取（NR）方法非常接近，并能保持预测性能，为放射组学分析提供了一种更连贯的替代方案。 AI

影响 这项研究可以提高医学影像放射组学分析的准确性和可靠性，可能带来更好的诊断和预后模型。

排序理由 该集群包含一篇arXiv预印本，详细介绍了一种新的放射组学分析方法。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新的放射组学框架解耦CT/MRI中的体素几何与信号变化

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该集群包含一篇arXiv预印本，详细介绍了一种新的放射组学分析方法。
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报道来源 [3]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    无需插值即可实现物理感知放射组学：解耦CT和MRI中的体素几何与信号修改

    Objective: Radiomic texture features are usually computed in voxel-index neighborhoods, implicitly assuming isotropic spatial relationships. In anisotropic images, this can confound voxel geometry with interpolation-induced signal changes. We developed a voxel-spacing-aware radio…

  2. arXiv cs.CV TIER_1 English(EN) · David Corral Fontecha, Juan Miranda Bautista, Pablo Menendez Fern\'andez-Miranda, Sergio Rubio-Mart\'in, Lara Lloret Iglesias, Jose A. Vega ·

    无需插值即可实现物理感知放射组学：解耦CT和MRI中的体素几何与信号修改

    arXiv:2607.12399v1 Announce Type: new Abstract: Objective: Radiomic texture features are usually computed in voxel-index neighborhoods, implicitly assuming isotropic spatial relationships. In anisotropic images, this can confound voxel geometry with interpolation-induced signal c…

  3. arXiv cs.CV TIER_1 English(EN) · Jose A. Vega ·

    无需插值即可实现物理感知放射组学：解耦CT和MRI中的体素几何与信号修改

    Objective: Radiomic texture features are usually computed in voxel-index neighborhoods, implicitly assuming isotropic spatial relationships. In anisotropic images, this can confound voxel geometry with interpolation-induced signal changes. We developed a voxel-spacing-aware radio…

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