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New AI models improve CBCT image reconstruction from sparse data · 2 sources tracked

By PulseAugur Editorial · [3 sources] ·

Two new research papers introduce advanced methods for reconstructing cone-beam computed tomography (CBCT) images from sparse projection data. EUReCA, a geometry-aware feed-forward model, integrates learned projection features with an in-frame reconstruction method and a 3D transformer to handle variable view counts efficiently. SparseTokenGS utilizes a reusable token pool and Gaussian-based methods with attention mechanisms to maintain scan-wide context during reconstruction, achieving high performance on chest and dental datasets. AI

IMPACT These advancements in CBCT reconstruction could lead to lower radiation doses and faster scan times in medical imaging, improving patient outcomes and diagnostic efficiency.

RANK_REASON Two academic papers published on arXiv detailing new AI models for medical imaging reconstruction.

Read on arXiv cs.AI →

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

New AI models improve CBCT image reconstruction from sparse data · 2 sources tracked

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COVERAGE [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: End-to-End Unified CBCT Reconstruction Across Clinical Acquisitions

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

    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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