Attention-based deep neural network for partial volume correction in brain 18F-FDG PET imaging-Reference-Cited by-同舟云学术

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Attention-based deep neural network for partial volume correction in brain 18F-FDG PET imaging

Published:2024-03 Issue: Volume:119 Page:103315
ISSN:1120-1797
Container-title:Physica Medica
language:en
Short-container-title:Physica Medica

Author:

Azimi MohammadSaber,Kamali-Asl Alireza,Ay Mohammad-Reza,Zeraatkar Navid^ORCID,Hosseini Mahboube-Sadat,Sanaat Amirhossein,Arabi Hossein

Publisher

Elsevier BV

Reference33 articles.

1. Incorporation of wavelet-based denoising in iterative deconvolution for partial volume correction in whole-body PET imaging;Boussion;Eur J Nucl Med Mol Imaging,2009

2. Arabi H, Asl ARK. Feasibility study of a new approach for reducing of partial volume averaging artifact in CT scanner, in 2010 17th Iranian Conference of Biomedical Engineering (ICBME), 2010: IEEE, pp. 1-4.

3. Enhancement of partial volume Correction in MR-guided PET image reconstruction by using MRI Voxel Sizes (in eng);Belzunce;IEEE Trans Radiat Plasma Med Sci,2019

4. Correction for partial volume effects in PET: principle and validation;Rousset;J Nucl Med,1998

5. Deconvolution-based partial volume correction in Raclopride-PET and Monte Carlo comparison to MR-based method;Tohka;Neuroimage,2008

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