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New AXON framework reconstructs 3D CT volumes from 2D X-rays

By PulseAugur Editorial · [1 sources] ·

Researchers have developed AXON, a novel framework utilizing a multi-stage diffusion model to reconstruct detailed 3D CT volumes from standard 2D X-rays. This approach aims to improve diagnostic accessibility by overcoming the limitations of traditional CT scans, such as high radiation exposure and cost. AXON employs a coarse-to-fine strategy, beginning with a Brownian Bridge model for global structure and then using ControlNet for local detail enhancement, with added capabilities for bi-planar view integration and super-resolution. AI

IMPACT This research could significantly improve the accessibility and affordability of detailed 3D anatomical imaging for medical diagnostics.

RANK_REASON The cluster contains an academic paper detailing a new method for medical image reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New AXON framework reconstructs 3D CT volumes from 2D X-rays

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22 / 100
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The cluster contains an academic paper detailing a new method for medical image reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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paper, model release
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Martin Rath, Morteza Ghahremani, Yitong Li, Ashkan Taghipour, Marcus Makowski, Christian Wachinger ·

    Conditional Diffusion for 3D CT Volume Reconstruction from 2D X-rays

    arXiv:2603.26509v2 Announce Type: replace Abstract: Computed tomography (CT) provides rich 3D anatomical detail but is often constrained by high radiation exposure, substantial costs, and limited availability. Standard chest X-rays are cost-effective and widely accessible, but pr…

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