Boundary Data Analysis of Continuous Wave Domain Diffuse Optical Tomography with Structured Refined Mesh Algorithm for Product Quality Control

Article Preview

Abstract:

Diffuse optical tomography is promising technology for non destructive evaluation on product quality control. In order to improve the forward sensitivity, structured refine mesh method was applied on continuous wave domain diffuse optical tomography imaging. This study was conducted on numerical and phantom object. These objects were illuminated by the near infrared source from object’s boundary. To obtain the boundary parameter data, a set of near infrared detector were placed on the periphery of the object. To validate our proposed forward analysis method, boundary parameter data of simulation are shown in comparison with that of experiment. In this study, we vary the position and the value of optical coefficient of defect on the object then we analyze the forward problem sensitivity. The result of this study indicated that continuous wave domain-diffuse optical tomography is promising for product quality control.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

174-178

Citation:

Online since:

July 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J.P. Culver, A.M. Siegel, J.J. Stott, and D.A. Boas, Volumetric diffuse optical tomography of brain activity, Optics Letters. 28 (2003) 2061-(2063).

DOI: 10.1364/ol.28.002061

Google Scholar

[2] M. Schweiger, A. Gibson, and S.R. Arridge, Computational aspects of diffuse optical tomography, IEEE Computing in Science and Engineering. 5 (2003) 33-41.

DOI: 10.1109/mcise.2003.1238702

Google Scholar

[3] S. Okawa et al., Phantom and mouse experiments of time-domain fluorescence tomography using total light approach, Biomed. Opt. Express. 4 no. 4 (2013) 635-651.

DOI: 10.1364/boe.4.000635

Google Scholar

[4] V. Nadhira, D. Kurniadi, and E. Juliastuti, Feasibility Study on Image Reconstruction of Continuous Wave Domain Diffuse Optical Tomography for Quality Control on Seed Potatoes, IEEE, ICICI-BME Conference Proceeding. (2013) 421 - 424.

DOI: 10.1109/icici-bme.2013.6698539

Google Scholar

[5] E.K. Kemsley, H.S. Tapp, R. Binns, R.O. Mackin, and A.J. Peyton, Feasibility study of NIR diffuse optical tomography on agricultural produce, Science Direct Postharvest Biology and Technology. 48 issue 2 (2008) 223–230.

DOI: 10.1016/j.postharvbio.2007.10.014

Google Scholar

[6] Y. Peng and Y. L. MO, Adaptive Mesh Refinement Algorithm for Electrical Impedance Tomography Based on Wavelet Transform, IEEE, Biomedical Engineering. (2003) 196 – 197.

DOI: 10.1109/apbme.2003.1302651

Google Scholar

[7] V. Nadhira, D. Kurniadi, E. Juliastuti, and A. Sutiswan, Study of continuous-wave domain fluorescence diffuse optical tomography for quality control on agricultural produce, AIP Conference Proceedings. 1589 (2014) 276-280.

DOI: 10.1063/1.4868799

Google Scholar

[8] A. Marjono, A. Yano, S. Okawa, F. Gao, and Y. Yamada, Total light approach of time-domain fluorescence diffuse optical tomography, Optics Express. 16 issue 17 (2008) 13104-13121.

DOI: 10.1364/oe.16.015268

Google Scholar

[9] S. Keren, O. Gheysens, C. S. Levin, and S. S. Gambhir, A comparison between a time domain and continuous wave small animal optical imaging system, IEEE Medical Imaging. 27 no. 1 (2008) 58-63.

DOI: 10.1109/tmi.2007.902800

Google Scholar

[10] H. Egger, M. Freiberger, and M. Schlottbom, On forward and inverse models in fluorescence diffuse optical tomography, Inverse problems and Imaging. 4 no. 3 (2010) 411-427.

DOI: 10.3934/ipi.2010.4.411

Google Scholar

[11] V. Nadhira, D. Kurniadi, E. Juliastuti, and R.R. Eka, Image Reconstruction of Time Domain Diffuse Optical Tomography for Quality Control on Seed Potatoes, IEEE, ICA Conference Proceedings. (2013) 266-269.

DOI: 10.1109/ica.2013.6734084

Google Scholar