Accelerated Optimization of Implicit Neural Representations for CT Reconstruction

Inspired by their success in solving challenging inverse prob-lems in computer vision, implicit neural representations (INRs) have been recently proposed for reconstruction in low-dose/sparse-view X-ray computed tomography (CT). An INR represents a CT image as a small-scale neural network that takes...

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Vydáno v:	Proceedings (International Symposium on Biomedical Imaging) s. 1 - 5
Hlavní autoři:	Najaf, Mahrokh, Ongie, Gregory
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 14.04.2025
Témata:	Computed tomography Coor-dinate Based Neural Networks CT Reconstruction Fitting Image reconstruction Implicit Neural Representations Iterative methods Model-based Iterative Reconstruction Neural networks Optimization Phantoms Reconstruction algorithms Training X-ray imaging
ISSN:	1945-8452
On-line přístup:	Získat plný text
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