A Real-Time Neural Representation via Algorithm-Hardware Synergy for Sparse-View CT Reconstruction

Sparse-view computed tomography (SVCT) is an advancement in computed tomography (CT) technology that aims to reduce the radiation dose during imaging. Reconstructing high-quality images from sparse-view (SV) projections is an ill-posed inverse problem. Recently, implicit neural representations (INRs...

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Vydáno v:	IEEE transaction on neural networks and learning systems Ročník PP; s. 1 - 13
Hlavní autoři:	Li, Xin, Wan, Haochuan, Long, Kangjie, Wu, Qing, Du, Chenhe, Su, Ying, Luo, Zhe, Lou, Xin, Zhang, Yuyao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 04.11.2025
Témata:	Computed tomography Computed tomography (CT) reconstruction Encoding Feature extraction Image reconstruction implicit neural representation (INR) Inference algorithms Magnetic resonance imaging Neural radiance field real-time reconstruction Real-time systems Rendering (computer graphics) software-hardware synergy sparse-view CT Training
ISSN:	2162-237X, 2162-2388, 2162-2388
On-line přístup:	Získat plný text
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