Orientation distribution and mean width determination in micro X-Ray CT images of fibrous materials

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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.
Original languageEnglish
Title of host publicationIET 3rd International Conference on Intelligent Signal Processing (ISP 2017)
Place of PublicationLondon, UK
PublisherIET Conference Publications
Pages1-6
Number of pages6
ISBN (Electronic)978-1-78561-708-9
ISBN (Print)978-1-78561-707-2
DOIs
Publication statusPublished - 21 May 2018
EventIET 3rd International Conference on Intelligent Signal Processing (ISP 2017) - Savoy Place, IET Headquarters, London, United Kingdom
Duration: 4 Dec 20175 Dec 2017
Conference number: 3
http://digital-library.theiet.org/content/conferences/cp731

Conference

ConferenceIET 3rd International Conference on Intelligent Signal Processing (ISP 2017)
Abbreviated titleIET ISP 2017
CountryUnited Kingdom
CityLondon
Period4/12/175/12/17
Internet address

Keywords

  • computerised tomography
  • X-ray microscopy
  • medical image processing
  • tomography
  • electrospinning
  • polymer fibres

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