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231226s2023 xx |||||o 00| ||eng c |
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7 |
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|a 10.1107/S1600577523000772
|2 doi
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|a pubmed25n1179.xml
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|a (DE-627)NLM353975796
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|a (NLM)36891855
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Duan, Xiaoman
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Low-density tissue scaffold imaging by synchrotron radiation propagation-based imaging computed tomography with helical acquisition mode
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| 264 |
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|c 2023
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| 336 |
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 10.03.2023
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|a Date Revised 14.09.2024
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a open access.
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|a 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 (Np), 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 Np = 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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|a Journal Article
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|a helical acquisition mode
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4 |
|a propagation-based imaging
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|a ring artifact removal
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| 650 |
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4 |
|a tissue hydrogel scaffolds
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| 650 |
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7 |
|a Hydrogels
|2 NLM
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| 700 |
1 |
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|a Li, Naitao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Cooper, David M L
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Ding, Xiao Fan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chen, Xiongbiao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhu, Ning
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Journal of synchrotron radiation
|d 1994
|g 30(2023), Pt 2 vom: 01. März, Seite 417-429
|w (DE-627)NLM09824129X
|x 1600-5775
|7 nnas
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| 773 |
1 |
8 |
|g volume:30
|g year:2023
|g number:Pt 2
|g day:01
|g month:03
|g pages:417-429
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| 856 |
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|u http://dx.doi.org/10.1107/S1600577523000772
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