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Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode

Visualization of low-density tissue scaffolds made from hydro­gels is important yet challenging in tissue engineering and regenerative medicine (TERM). For this, synchrotron radiation propagation-based imaging computed tomography (SR-PBI-CT) has great potential, but is limited due to the ring artifa...

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Autores principales: Duan, Xiaoman, Li, Naitao, Cooper, David M. L., Ding, Xiao Fan, Chen, Xiongbiao, Zhu, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000810/
https://www.ncbi.nlm.nih.gov/pubmed/36891855
http://dx.doi.org/10.1107/S1600577523000772
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author Duan, Xiaoman
Li, Naitao
Cooper, David M. L.
Ding, Xiao Fan
Chen, Xiongbiao
Zhu, Ning
author_facet Duan, Xiaoman
Li, Naitao
Cooper, David M. L.
Ding, Xiao Fan
Chen, Xiongbiao
Zhu, Ning
author_sort Duan, Xiaoman
collection PubMed
description Visualization of low-density tissue scaffolds made from hydro­gels is important yet challenging in tissue engineering and regenerative medicine (TERM). For this, synchrotron radiation propagation-based imaging computed tomography (SR-PBI-CT) has great potential, but is limited due to the ring artifacts commonly observed in SR-PBI-CT images. To address this issue, this study focuses on the integration of SR-PBI-CT and helical acquisition mode (i.e. SR-PBI-HCT) to visualize hydro­gel scaffolds. The influence of key imaging parameters on the image quality of hydro­gel scaffolds was investigated, including the helical pitch (p), photon energy (E) and the number of acquisition projections per rotation/revolution (N (p)), and, on this basis, those parameters were optimized to improve image quality and to reduce noise level and artifacts. The results illustrate that SR-PBI-HCT imaging shows impressive advantages in avoiding ring artifacts with p = 1.5, E = 30 keV and N (p) = 500 for the visualization of hydro­gel scaffolds in vitro. Furthermore, the results also demonstrate that hydro­gel scaffolds can be visualized using SR-PBI-HCT with good contrast while at a low radiation dose, i.e. 342 mGy (voxel size of 26 µm, suitable for in vivo imaging). This paper presents a systematic study on hydro­gel scaffold imaging using SR-PBI-HCT and the results reveal that SR-PBI-HCT is a powerful tool for visualizing and characterizing low-density scaffolds with a high image quality in vitro. This work represents a significant advance toward the non-invasive in vivo visualization and characterization of hydro­gel scaffolds at a suitable radiation dose.
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spelling pubmed-100008102023-03-11 Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode Duan, Xiaoman Li, Naitao Cooper, David M. L. Ding, Xiao Fan Chen, Xiongbiao Zhu, Ning J Synchrotron Radiat Research Papers Visualization of low-density tissue scaffolds made from hydro­gels is important yet challenging in tissue engineering and regenerative medicine (TERM). For this, synchrotron radiation propagation-based imaging computed tomography (SR-PBI-CT) has great potential, but is limited due to the ring artifacts commonly observed in SR-PBI-CT images. To address this issue, this study focuses on the integration of SR-PBI-CT and helical acquisition mode (i.e. SR-PBI-HCT) to visualize hydro­gel scaffolds. The influence of key imaging parameters on the image quality of hydro­gel scaffolds was investigated, including the helical pitch (p), photon energy (E) and the number of acquisition projections per rotation/revolution (N (p)), and, on this basis, those parameters were optimized to improve image quality and to reduce noise level and artifacts. The results illustrate that SR-PBI-HCT imaging shows impressive advantages in avoiding ring artifacts with p = 1.5, E = 30 keV and N (p) = 500 for the visualization of hydro­gel scaffolds in vitro. Furthermore, the results also demonstrate that hydro­gel scaffolds can be visualized using SR-PBI-HCT with good contrast while at a low radiation dose, i.e. 342 mGy (voxel size of 26 µm, suitable for in vivo imaging). This paper presents a systematic study on hydro­gel scaffold imaging using SR-PBI-HCT and the results reveal that SR-PBI-HCT is a powerful tool for visualizing and characterizing low-density scaffolds with a high image quality in vitro. This work represents a significant advance toward the non-invasive in vivo visualization and characterization of hydro­gel scaffolds at a suitable radiation dose. International Union of Crystallography 2023-02-16 /pmc/articles/PMC10000810/ /pubmed/36891855 http://dx.doi.org/10.1107/S1600577523000772 Text en © Xiaoman Duan et al. 2023 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Duan, Xiaoman
Li, Naitao
Cooper, David M. L.
Ding, Xiao Fan
Chen, Xiongbiao
Zhu, Ning
Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
title Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
title_full Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
title_fullStr Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
title_full_unstemmed Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
title_short Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
title_sort low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000810/
https://www.ncbi.nlm.nih.gov/pubmed/36891855
http://dx.doi.org/10.1107/S1600577523000772
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