ArticleJournal of materials science. Materials in medicine2017
Micro-computed tomography characterization of tissue engineering scaffolds: effects of pixel size and rotation step.
Article in Journal of materials science. Materials in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 36 citations in OpenAlex.
- A low-cost imaging platform for quantitative characterisation of scaffold surface macrotopography with potential application in craniofacial tissue engineering.Medical & biological engineering & computing · 2026Article
- Computed tomography technologies to measure key structural features of polymeric biomedical implants from bench to bedside.Journal of biomedical materials research. Part A · 2024Article
- Micro computed tomography analysis of barley during the first 24 hours of germination.Plant methods · 2024Article
- A conservative approach to localize loose implant screw through cemented crown: an in vitro experimental study.BMC oral health · 2024Article
- Biocomposite Macrospheres Based on Strontium-Bioactive Glass for Application as Bone Fillers.ACS materials Au · 2023Article
- Correlative Imaging of Three-Dimensional Cell Culture on Opaque Bioscaffolds for Tissue Engineering Applications.ACS applied bio materials · 2023Article
- Effect of data binning and frame averaging for micro-CT image acquisition on the morphometric outcome of bone repair assessment.Scientific reports · 2022Article
- Methodology, selection, and integration of fracture healing assessments in mice.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2021Review
- Quality control methods in musculoskeletal tissue engineering: from imaging to biosensors.Bone research · 2021Review
- Accuracy of Microcomputed Tomography in Detecting Dentinal Cracks: A Correlative Study with Scanning Electron and Operative Microscopy.Scanning · 2021Article
- Photoacoustic Imaging in Tissue Engineering and Regenerative Medicine.Tissue engineering. Part B, Reviews · 2020Review
- Micro-computed tomography high resolution evaluation of dimensional and morphological changes of 3 root-end filling materials in simulated physiological conditions.Journal of materials science. Materials in medicine · 2020Article
- Suturable regenerated silk fibroin scaffold reinforced with 3D-printed polycaprolactone mesh: biomechanical performance and subcutaneous implantation.Journal of materials science. Materials in medicine · 2019Article
- Micro-CT - a digital 3D microstructural voyage into scaffolds: a systematic review of the reported methods and results.Biomaterials research · 2018Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative assessment of micro-structure of materials is of key importance in many fields including tissue engineering, biology, and dentistry. Micro-computed tomography (µ-CT) is an intensively used non-destructive technique. However, the acquisition parameters such as pixel size and rotation step may have significant effects on the obtained results. In this study, a set of tissue engineering scaffolds including examples of natural and synthetic polymers, and ceramics were analyzed. We comprehensively compared the quantitative results of µ-CT characterization using 15 acquisition scenarios that differ in the combination of the pixel size and rotation step. The results showed that the acquisition parameters could statistically significantly affect the quantified mean porosity, mean pore size, and mean wall thickness of the scaffolds. The effects are also practically important since the differences can be as high as 24% regarding the mean porosity in average, and 19.5 h and 166 GB regarding the characterization time and data storage per sample with a relatively small volume. This study showed in a quantitative manner the effects of such a wide range of acquisition scenarios on the final data, as well as the characterization time and data storage per sample. Herein, a clear picture of the effects of the pixel size and rotation step on the results is provided which can notably be useful to refine the practice of µ-CT characterization of scaffolds and economize the related resources.
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