3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain-Reference-Cited by-同舟云学术

3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain

Published:2022 Issue: Volume: Page:94-104
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Rodríguez Hernández Leandro José^ORCID,Ochoa Domínguez Humberto de Jesús^ORCID,Vergara Villegas Osslan Osiris^ORCID,Cruz Sánchez Vianey Guadalupe^ORCID,Sossa Azuela Juan Humberto^ORCID,Polanco González Javier^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-07750-0_9

Reference20 articles.

1. Kumar, A., Fulham, M., Feng, D., Kim, J.: Co-learning feature fusion maps from PET-CT images of lung cancer. IEEE Trans. Med. Imaging 39(1), 204–217 (2020)

2. Klyuzhin, I.S., Fu, J.F., Shenkov, N., Rahmim, A., Sossi, V.: Use of generative disease models for analysis and selection of radiomic features in PET. IEEE Trans. Radiat. Plasma Med. Sci. 3(2), 178–191 (2019)

3. Kanhaiyalal, A., Annah, S.: PET/CT Imaging, Basics and Practice. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-75476-1

4. Arabi, H., Zaidi, H.: Spatially guided nonlocal mean approach for denoising of PET images. Med. Phys. 47(4), 1656–1669 (2020)

5. Chan, C., Fulton, R., Barnett, R., Feng, D., Meikle, S.: Postreconstruction nonlocal means filtering of whole-body PET with an anatomical prior. IEEE Trans. Med. Imaging 33(3), 636–650 (2014)

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1. Residual 3D convolutional neural network to enhance sinograms from small-animal positron emission tomography images;Pattern Recognition Letters;2023-08