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New AI framework reconstructs pediatric skull CT from X-rays

Researchers have developed PSCT-Net, a novel framework for reconstructing 3D CT scans of pediatric skulls from sparse bi-planar X-rays. This method addresses the limitations of existing techniques by incorporating geometry-aware features and a differentiable back-projection process to reduce depth ambiguity and improve osseous boundary definition. The framework also includes an Attention-Guided Projection (AGP-3D) module and a Bidirectional Mamba (BiM-3D) module for enhanced spatial correspondence and volumetric dependency capture. To support its development and evaluation, a new dataset named PedSkull-CT, specifically curated for pediatric skull imaging, has been created. AI

IMPACT This research could lead to lower-dose medical imaging for pediatric patients, improving diagnostic accuracy and safety.

RANK_REASON The cluster contains a research paper detailing a new AI model and dataset.

Read on arXiv cs.AI →

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New AI framework reconstructs pediatric skull CT from X-rays

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Dong Yeong Kim, Jaewon Choi, Youmin Shin, Jungyu Lee, Myeongseop Kim, Jinwook Choi, Joo Whan Kim, Young-Gon Kim ·

    PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

    arXiv:2606.19867v1 Announce Type: cross Abstract: Computed Tomography (CT) is essential for diagnosing pediatric craniofacial abnormalities, yet poses radiation risks to developing anatomies. Reconstructing 3D CT from sparse bi-planar X-rays offers a low-dose alternative but is s…

  2. arXiv cs.AI TIER_1 English(EN) · Young-Gon Kim ·

    PSCT-Net: Geometry-Aware Pediatric Skull CT Reconstruction via Differentiable Back-Projection and Attention-Guided Refinement

    Computed Tomography (CT) is essential for diagnosing pediatric craniofacial abnormalities, yet poses radiation risks to developing anatomies. Reconstructing 3D CT from sparse bi-planar X-rays offers a low-dose alternative but is severely ill-posed. Existing methods employ geometr…