Segmentation of four-dimensional, X-ray computed tomography data

John W. Gibbs; Peter W. Voorhees

doi:10.1186/2193-9772-3-6

Segmentation of four-dimensional, X-ray computed tomography data

John W. Gibbs^*, Peter W. Voorhees

^*Corresponding author for this work

Materials Science and Engineering

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

The rapidly improving temporal resolution of X-ray computed tomography (CT) imaging methods makes it ever easier to do in-situ, time-resolved (4D) experiments. This work describes a method of segmenting 4D X-ray CT data that works well for extracting information on the interfacial properties, such as interfacial curvature and velocity. As an example of this method, a segmentation is performed on data from an isothermal coarsening experiment of an Al-Cu solid/liquid mixture.

Original language	English (US)
Pages (from-to)	73-84
Number of pages	12
Journal	Integrating Materials and Manufacturing Innovation
Volume	3
Issue number	1
DOIs	https://doi.org/10.1186/2193-9772-3-6
State	Published - Dec 1 2014

Keywords

4D data
Computed tomography
Registration
Segmentation

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Materials Science(all)

Access to Document

10.1186/2193-9772-3-6

Cite this

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title = "Segmentation of four-dimensional, X-ray computed tomography data",

abstract = "The rapidly improving temporal resolution of X-ray computed tomography (CT) imaging methods makes it ever easier to do in-situ, time-resolved (4D) experiments. This work describes a method of segmenting 4D X-ray CT data that works well for extracting information on the interfacial properties, such as interfacial curvature and velocity. As an example of this method, a segmentation is performed on data from an isothermal coarsening experiment of an Al-Cu solid/liquid mixture.",

keywords = "4D data, Computed tomography, Registration, Segmentation",

author = "Gibbs, {John W.} and Voorhees, {Peter W.}",

note = "Funding Information: This work was funded by the DOE under grant DE-FG02-99ER45782/A012 and by a DOE NNSA Stewardship Science Graduate Fellowship (grant DE-FC52-08NA28752). The authors would like to thank Dr. Julie L. Fife for the use of her data in the development of these methods and Dr. E. Begum Gulsoy for guidance with registration methods. Publisher Copyright: {\textcopyright} 2014, Gibbs and Voorhees; licensee Springer.",

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doi = "10.1186/2193-9772-3-6",

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T1 - Segmentation of four-dimensional, X-ray computed tomography data

AU - Gibbs, John W.

AU - Voorhees, Peter W.

N1 - Funding Information: This work was funded by the DOE under grant DE-FG02-99ER45782/A012 and by a DOE NNSA Stewardship Science Graduate Fellowship (grant DE-FC52-08NA28752). The authors would like to thank Dr. Julie L. Fife for the use of her data in the development of these methods and Dr. E. Begum Gulsoy for guidance with registration methods. Publisher Copyright: © 2014, Gibbs and Voorhees; licensee Springer.

PY - 2014/12/1

Y1 - 2014/12/1

N2 - The rapidly improving temporal resolution of X-ray computed tomography (CT) imaging methods makes it ever easier to do in-situ, time-resolved (4D) experiments. This work describes a method of segmenting 4D X-ray CT data that works well for extracting information on the interfacial properties, such as interfacial curvature and velocity. As an example of this method, a segmentation is performed on data from an isothermal coarsening experiment of an Al-Cu solid/liquid mixture.

AB - The rapidly improving temporal resolution of X-ray computed tomography (CT) imaging methods makes it ever easier to do in-situ, time-resolved (4D) experiments. This work describes a method of segmenting 4D X-ray CT data that works well for extracting information on the interfacial properties, such as interfacial curvature and velocity. As an example of this method, a segmentation is performed on data from an isothermal coarsening experiment of an Al-Cu solid/liquid mixture.

KW - 4D data

KW - Computed tomography

KW - Registration

KW - Segmentation

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U2 - 10.1186/2193-9772-3-6

DO - 10.1186/2193-9772-3-6

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JO - Integrating Materials and Manufacturing Innovation

JF - Integrating Materials and Manufacturing Innovation

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Segmentation of four-dimensional, X-ray computed tomography data

Abstract

Keywords

ASJC Scopus subject areas

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Other files and links

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Liquid-solid Metallic Mixture Coarsening Data - 35% Solid

Dataset for Segmentation of Four-dimensional, X-ray Computed Tomography Data

Cite this

Segmentation of four-dimensional, X-ray computed tomography data

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Datasets

Liquid-solid Metallic Mixture Coarsening Data - 35% Solid

Dataset for Segmentation of Four-dimensional, X-ray Computed Tomography Data

Cite this