Example-Based Super-Resolution Image Reconstruction for Positron Emission Tomography Using Sparse Coding

This paper presents example-based methods for super-resolution (SR) reconstruction from a single set of low-resolution projections (or a sinogram) in positron emission tomography (PET). While deep learning-based SR approaches have shown promise across various imaging modalities, their application in...

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Vydané v:	IEEE access Ročník 12; s. 182590 - 182602
Hlavní autori:	Ren, Xue, Lee, Soo-Jin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Accuracy Coding Computed tomography Dictionaries Image acquisition Image coding Image edge detection Image quality Image reconstruction Image resolution Imaging inverse problems Magnetic resonance Medical imaging penalized-likelihood methods Positron emission Positron emission tomography Quality assessment Regularization Sparse approximation sparse coding Spatial resolution super-resolution Superresolution Tomography
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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