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Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications
Limited-angle iterative reconstruction (LAIR) reduces the radiation dose required for computed tomography (CT) imaging by decreasing the range of the projection angle. We developed an image-quality-based stopping-criteria method with a flexible and innovative instrument design that, when combined wi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308519/ https://www.ncbi.nlm.nih.gov/pubmed/30558381 http://dx.doi.org/10.3390/s18124458 |
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author | Jin, Shih-Chun Hsieh, Chia-Jui Chen, Jyh-Cheng Tu, Shih-Huan Chen, Ya-Chen Hsiao, Tzu-Chien Liu, Angela Chou, Wen-Hsiang Chu, Woei-Chyn Kuo, Chih-Wei |
author_facet | Jin, Shih-Chun Hsieh, Chia-Jui Chen, Jyh-Cheng Tu, Shih-Huan Chen, Ya-Chen Hsiao, Tzu-Chien Liu, Angela Chou, Wen-Hsiang Chu, Woei-Chyn Kuo, Chih-Wei |
author_sort | Jin, Shih-Chun |
collection | PubMed |
description | Limited-angle iterative reconstruction (LAIR) reduces the radiation dose required for computed tomography (CT) imaging by decreasing the range of the projection angle. We developed an image-quality-based stopping-criteria method with a flexible and innovative instrument design that, when combined with LAIR, provides the image quality of a conventional CT system. This study describes the construction of different scan acquisition protocols for micro-CT system applications. Fully-sampled Feldkamp (FDK)-reconstructed images were used as references for comparison to assess the image quality produced by these tested protocols. The insufficient portions of a sinogram were inpainted by applying a context encoder (CE), a type of generative adversarial network, to the LAIR process. The context image was passed through an encoder to identify features that were connected to the decoder using a channel-wise fully-connected layer. Our results evidence the excellent performance of this novel approach. Even when we reduce the radiation dose by 1/4, the iterative-based LAIR improved the full-width half-maximum, contrast-to-noise and signal-to-noise ratios by 20% to 40% compared to a fully-sampled FDK-based reconstruction. Our data support that this CE-based sinogram completion method enhances the efficacy and efficiency of LAIR and that would allow feasibility of limited angle reconstruction. |
format | Online Article Text |
id | pubmed-6308519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63085192019-01-04 Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications Jin, Shih-Chun Hsieh, Chia-Jui Chen, Jyh-Cheng Tu, Shih-Huan Chen, Ya-Chen Hsiao, Tzu-Chien Liu, Angela Chou, Wen-Hsiang Chu, Woei-Chyn Kuo, Chih-Wei Sensors (Basel) Article Limited-angle iterative reconstruction (LAIR) reduces the radiation dose required for computed tomography (CT) imaging by decreasing the range of the projection angle. We developed an image-quality-based stopping-criteria method with a flexible and innovative instrument design that, when combined with LAIR, provides the image quality of a conventional CT system. This study describes the construction of different scan acquisition protocols for micro-CT system applications. Fully-sampled Feldkamp (FDK)-reconstructed images were used as references for comparison to assess the image quality produced by these tested protocols. The insufficient portions of a sinogram were inpainted by applying a context encoder (CE), a type of generative adversarial network, to the LAIR process. The context image was passed through an encoder to identify features that were connected to the decoder using a channel-wise fully-connected layer. Our results evidence the excellent performance of this novel approach. Even when we reduce the radiation dose by 1/4, the iterative-based LAIR improved the full-width half-maximum, contrast-to-noise and signal-to-noise ratios by 20% to 40% compared to a fully-sampled FDK-based reconstruction. Our data support that this CE-based sinogram completion method enhances the efficacy and efficiency of LAIR and that would allow feasibility of limited angle reconstruction. MDPI 2018-12-16 /pmc/articles/PMC6308519/ /pubmed/30558381 http://dx.doi.org/10.3390/s18124458 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Jin, Shih-Chun Hsieh, Chia-Jui Chen, Jyh-Cheng Tu, Shih-Huan Chen, Ya-Chen Hsiao, Tzu-Chien Liu, Angela Chou, Wen-Hsiang Chu, Woei-Chyn Kuo, Chih-Wei Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications |
title | Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications |
title_full | Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications |
title_fullStr | Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications |
title_full_unstemmed | Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications |
title_short | Development of Limited-Angle Iterative Reconstruction Algorithms with Context Encoder-Based Sinogram Completion for Micro-CT Applications |
title_sort | development of limited-angle iterative reconstruction algorithms with context encoder-based sinogram completion for micro-ct applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308519/ https://www.ncbi.nlm.nih.gov/pubmed/30558381 http://dx.doi.org/10.3390/s18124458 |
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