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New radiomic framework disentangles voxel geometry from signal modification in CT/MRI

By PulseAugur Editorial · [3 sources] ·

Researchers have developed a new radiomic framework that accounts for voxel spacing in medical imaging, specifically computed tomography (CT) and magnetic resonance imaging (MRI). This voxel-spacing-aware (VS) method aims to disentangle true voxel geometry from signal modifications caused by interpolation, a common issue in anisotropic images. Experiments showed that the VS approach closely matches native, non-resampled extraction (NR) in terms of agreement and preserves predictive performance, offering a more coherent alternative for radiomic analysis. AI

IMPACT This research could improve the accuracy and reliability of radiomic analyses in medical imaging, potentially leading to better diagnostic and prognostic models.

RANK_REASON The cluster contains an arXiv preprint detailing a new methodology for radiomic analysis.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New radiomic framework disentangles voxel geometry from signal modification in CT/MRI

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The cluster contains an arXiv preprint detailing a new methodology for radiomic analysis.
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COVERAGE [3]

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

    Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI

    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 ·

    Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI

    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 ·

    Physically Aware Radiomics Without Interpolation: Disentangling Voxel Geometry and Signal Modification in CT and MRI

    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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