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Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
November/December 2007 (vol. 13 no. 6)
pp. 1520-1527
ASCII Text
x 
 
Christoph Heinzl, Johann Kastner, Eduard Gröller, "Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1520-1527, November/December, 2007.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2007.70598,
author = {Christoph Heinzl and Johann Kastner and Eduard Gröller},
title = {Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {13},
number = {6},
issn = {1077-2626},
year = {2007},
pages = {1520-1527},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2007.70598},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT
IS - 6
SN - 1077-2626
SP1520
EP1527
EPD - 1520-1527
A1 - Christoph Heinzl,
A1 - Johann Kastner,
A1 - Eduard Gröller,
PY - 2007
KW - DECT image fusion
KW - local surface extraction
KW - Dual Energy CT
KW - metrology
KW - dimensional measurement
KW - variance comparison.
VL - 13
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
This paper describes a novel method for creating surface models of multi-material components using dual energy computed tomography (DECT). The application scenario is metrology and dimensional measurement in industrial high resolution 3D x-ray computed tomography (3DCT). Based on the dual source / dual exposure technology this method employs 3DCT scans of a high precision micro-focus and a high energy macro-focus x-ray source. The presented work makes use of the advantages of dual x-ray exposure technology in order to facilitate dimensional measurements of multi-material components with high density material within low density material. We propose a workflow which uses image fusion and local surface extraction techniques: a prefiltering step reduces noise inherent in the data. For image fusion the datasets have to be registered. In the fusion step the benefits of both scans are combined. The structure of the specimen is taken from the low precision, blurry, high energy dataset while the sharp edges are adopted and fused into the resulting image from the high precision, crisp, low energy dataset. In the final step a reliable surface model is extracted from the fused dataset using a local adaptive technique. The major contribution of this paper is the development of a specific workflow for dimensional measurements of multi-material industrial components, which takes two x-ray CT datasets with complementary strengths and weaknesses into account. The performance of the workflow is discussed using a test specimen as well as two real world industrial parts. As result, a significant improvement in overall measurement precision, surface geometry and mean deviation to reference measurement compared to single exposure scans was facilitated.

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Index Terms:
DECT image fusion, local surface extraction, Dual Energy CT, metrology, dimensional measurement, variance comparison.
Citation:
Christoph Heinzl, Johann Kastner, Eduard Gröller, "Surface Extraction from Multi-Material Components for Metrology using Dual Energy CT," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1520-1527, Nov.-Dec. 2007, doi:10.1109/TVCG.2007.70598
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