Dual-Domain deep prior guided sparse-view CT reconstruction with multi-scale fusion attention

Abstract Sparse-view CT reconstruction is a challenging ill-posed inverse problem, where insufficient projection data leads to degraded image quality with increased noise and artifacts. Recent deep learning approaches have shown promising results in CT reconstruction. However, existing methods often...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:Scientific Reports
المؤلفون الرئيسيون: Jia Wu, Jinzhao Lin, Xiaoming Jiang, Wei Zheng, Lisha Zhong, Yu Pang, Hongying Meng, Zhangyong Li
التنسيق: مقال
اللغة:الإنجليزية
منشور في: Nature Portfolio 2025-05-01
الموضوعات:
Sparse-view CT reconstruction
Deep prior
Multi-scale fusion attention
Model-based optimization
Physics-informed consistency
الوصول للمادة أونلاين:https://doi.org/10.1038/s41598-025-02133-5

الانترنت

https://doi.org/10.1038/s41598-025-02133-5

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