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#ct-reconstruction News & Analysis

2 articles tagged with #ct-reconstruction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 106/10
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Deep Slice Interpolation for Reducing Through-Plane Anisotropy and Noise in Head CT

Researchers have developed a deep learning system that synthesizes intermediate CT slices to reduce through-plane anisotropy in head CT imaging, effectively halving spacing while simultaneously denoising outputs. The system outperforms classical interpolation and existing video frame interpolation methods, with MS-SSIM+L1 loss providing optimal performance across structural measures.

AIBullisharXiv – CS AI · Mar 36/1012
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Efficient Flow Matching for Sparse-View CT Reconstruction

Researchers developed FMCT/EFMCT, a new Flow Matching-based framework for CT medical imaging reconstruction that significantly improves computational efficiency over existing diffusion models. The method uses deterministic ordinary differential equations and velocity field reuse to reduce neural network evaluations while maintaining reconstruction quality.