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Orientation Distribution and Mean Width Determination in micro X-Ray CT Images of Fibrous Materials
| Content Provider | Semantic Scholar |
|---|---|
| Author | Chiverton, John Kao, Alexander P. Tozzi, G. Roldo, Marta |
| Copyright Year | 2017 |
| Abstract | Fibrous nano-materials can be imaged using high resolution X-ray computer tomography (XCT). Some important parameters that are often manually estimated from this imaging data include the orientation distribution and the thickness of the fibres. Automation of this process is hampered by the close proximity of the fibres even with sub-micron voxel sizes. An automated sampling methodology has therefore been developed that can detect points in the imaging data where fibres are present and well separated. Polycaprolactone (PCL) electrospun fibrous material was prepared and imaged with a Zeiss Xradia Versa 510 Microtomography XCT. Automated measurements were then determined and further summarised using a single parameter measure. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://researchportal.port.ac.uk/portal/files/10421519/jcakgtmr_ietisp2017.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Automation CT scan Computed Tomography Scanning Systems Diagnostic radiologic examination Diameter (qualifier value) Dimensions GNU nano Image resolution Mental Orientation Micron Pleural Solitary Fibrous Tumor Population Parameter Sampling (signal processing) Thickness (graph theory) Voxel X-Ray Computed Tomography X-ray microtomography polycaprolactone width |
| Content Type | Text |
| Resource Type | Article |
