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新的AI模型改进稀疏数据CBCT图像重建 · 跟踪2个来源

作者 PulseAugur 编辑部 · [3 个来源] ·

两篇新的研究论文介绍了从稀疏投影数据重建锥束CT（CBCT）图像的先进方法。EUReCA是一种几何感知的前馈模型，它将学习到的投影特征与帧内重建方法和3D Transformer相结合，以有效地处理可变的视图数量。SparseTokenGS利用可重用的令牌池和基于高斯的具有注意力机制的方法，在重建过程中保持扫描范围的上下文，并在胸部和牙科数据集上取得了高性能。 AI

影响 CBCT重建的这些进步可能导致医学成像中辐射剂量降低和扫描时间缩短，从而改善患者预后和诊断效率。

排序理由 两篇学术论文发表在arXiv上，详细介绍了用于医学成像重建的新AI模型。

在 arXiv cs.AI 阅读 →

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新的AI模型改进稀疏数据CBCT图像重建 · 跟踪2个来源

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两篇学术论文发表在arXiv上，详细介绍了用于医学成像重建的新AI模型。
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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Jiening Zhu, Chengzhu Zhang, Jason Fan, LiCheng Kuo, Weixing Cai, Xiuxiu He, Laura Cervino, Jean Moran, Xiang Li, Tianfang Li, Yabo Fu ·

    EUReCA：端到端统一的CBCT重建，覆盖临床采集

    arXiv:2610.37740v1 Announce Type: cross Abstract: Cone-beam computed tomography (CBCT) is widely used for image-guided radiotherapy, but reducing the number of projections to lower dose and scan time makes reconstruction increasingly ill-posed. We present EUReCA (End-to-end Unifi…

  2. arXiv cs.AI TIER_1 English(EN) · Zihan Deng, Zhenzhen Gong, Yujie Liu, Jiaxin Gong, Dingkun Liu, Kexian Xie, Yixing Huang, Peng Jin, Tianye Niu, Zhisheng Wang, Fenglin Liu, Hongming Shan, Lequan Yu ·

    SparseTokenGS：基于高斯分布的稀疏视图CBCT重建与可复用Token池

    arXiv:2610.38360v1 Announce Type: cross Abstract: Sparse-view cone-beam computed tomography is widely used for fast, low-dose volumetric imaging and lesion localization in dentistry and image-guided interventions, but it introduces severe artifacts. Feed-forward Gaussian methods …

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

    SparseTokenGS: Gaussian-based Sparse-View CBCT Reconstruction via Reusable Token Pool

    Sparse-view cone-beam computed tomography is widely used for fast, low-dose volumetric imaging and lesion localization in dentistry and image-guided interventions, but it introduces severe artifacts. Feed-forward Gaussian methods transfer the reconstruction cost to training and d…

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