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

John Chiverton; Alex Kao; Gianluca Tozzi; Marta Roldo

doi:10.1049/cp.2017.0351

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

John Chiverton, Alex Kao, Gianluca Tozzi, Marta Roldo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

178 Downloads (Pure)

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 language	English
Title of host publication	IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)
Place of Publication	London, UK
Publisher	IET Conference Publications
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-78561-708-9
ISBN (Print)	978-1-78561-707-2
DOIs	https://doi.org/10.1049/cp.2017.0351
Publication status	Published - 21 May 2018
Event	IET 3rd International Conference on Intelligent Signal Processing (ISP 2017) - Savoy Place, IET Headquarters, London, United Kingdom Duration: 4 Dec 2017 → 5 Dec 2017 Conference number: 3 http://digital-library.theiet.org/content/conferences/cp731

Conference

Conference	IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)
Abbreviated title	IET ISP 2017
Country/Territory	United Kingdom
City	London
Period	4/12/17 → 5/12/17
Internet address	http://digital-library.theiet.org/content/conferences/cp731

Keywords

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

Access to Document

10.1049/cp.2017.0351

jcakgtmr-ietisp2017
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Accepted author manuscript (Post-print), 1.69 MB

https://ieeexplore.ieee.org/document/8361513/

1 Finished
2 Active

2D and 3D Voxel based Feature Extraction
Chiverton, J., Vuksanovic, B. & Sanders, D.
20/04/16 → …
Project: Research
Multiscale Feature Descriptors and Extraction
Chiverton, J., Sanders, D. & Vuksanovic, B.
20/04/16 → …
Project: Research
3D Image Processing of Nanoscale Fibres in XCT Images
Chiverton, J., Tozzi, G., Roldo, M. & Kao, A.
15/06/17 → 30/09/18
Project: Research

Cite this

@inproceedings{c8346c9695e84264a24cc9108be684ea,

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

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. ",

keywords = "computerised tomography, X-ray microscopy, medical image processing, tomography, electrospinning, polymer fibres ",

author = "John Chiverton and Alex Kao and Gianluca Tozzi and Marta Roldo",

note = "DOI: 10.1049/cp.2017.0351 (currently landing on CrossRef rather than article page); IET 3rd International Conference on Intelligent Signal Processing (ISP 2017), IET ISP 2017 ; Conference date: 04-12-2017 Through 05-12-2017",

year = "2018",

month = may,

day = "21",

doi = "10.1049/cp.2017.0351",

language = "English",

isbn = "978-1-78561-707-2",

pages = "1--6",

booktitle = "IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)",

publisher = "IET Conference Publications",

url = "http://digital-library.theiet.org/content/conferences/cp731",

}

Chiverton, J, Kao, A, Tozzi, G & Roldo, M 2018, Orientation distribution and mean width determination in micro X-Ray CT images of fibrous materials. in IET 3rd International Conference on Intelligent Signal Processing (ISP 2017). IET Conference Publications, London, UK, pp. 1-6, IET 3rd International Conference on Intelligent Signal Processing (ISP 2017), London, United Kingdom, 4/12/17. https://doi.org/10.1049/cp.2017.0351

Orientation distribution and mean width determination in micro X-Ray CT images of fibrous materials. / Chiverton, John; Kao, Alex; Tozzi, Gianluca et al.
IET 3rd International Conference on Intelligent Signal Processing (ISP 2017). London, UK: IET Conference Publications, 2018. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Orientation distribution and mean width determination in micro X-Ray CT images of fibrous materials

AU - Chiverton, John

AU - Kao, Alex

AU - Tozzi, Gianluca

AU - Roldo, Marta

N1 - Conference code: 3

PY - 2018/5/21

Y1 - 2018/5/21

N2 - 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.

AB - 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.

KW - computerised tomography

KW - X-ray microscopy

KW - medical image processing

KW - tomography

KW - electrospinning

KW - polymer fibres

U2 - 10.1049/cp.2017.0351

DO - 10.1049/cp.2017.0351

M3 - Conference contribution

SN - 978-1-78561-707-2

SP - 1

EP - 6

BT - IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)

PB - IET Conference Publications

CY - London, UK

T2 - IET 3rd International Conference on Intelligent Signal Processing (ISP 2017)

Y2 - 4 December 2017 through 5 December 2017

ER -

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

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

2D and 3D Voxel based Feature Extraction

Multiscale Feature Descriptors and Extraction

3D Image Processing of Nanoscale Fibres in XCT Images

Cite this