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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Veröffentlicht in:	IEEE access Jg. 12; S. 182590 - 182602
Hauptverfasser:	Ren, Xue, Lee, Soo-Jin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	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
Online-Zugang:	Volltext
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