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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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.
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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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