Research Article

The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography

Volume: 14 Number: 2 November 30, 2019
EN TR

The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography

Abstract

Diffuse optical tomography (DOT) utilizes wavelength range of 750-950 nm to map the spatial distribution of the tissue chromophores of breast tissue for cancer diagnosis or follow up prognosis. DOT allows tomographic reconstructions of tissue optical properties. Several reconstruction methods have been developed to minimize artifacts and obtain more realistic tomographic images. In order to compare four different reconstruction algorithms, data acquired from tissue phantoms using a DOT system.  Algebraic reconstruction technique (ART), simultaneous iteration reconstruction technique (SIRT), truncated singular value decomposition (TSVD) and truncated conjugate gradient (TCG) techniques have been compared in terms of location of inclusion in the tissue phantoms. It has been shown that images reconstructed by the subspace techniques, TSVD and TCG locating the inclusion position better than the algebraic methods ART and SIRT. Beside, images reconstructed by TSVD and TCG have less artifact when compared to images of ART and SIRT. 

Keywords

References

  1. [1] A. Yodh and B. Chance, "Spectroscopy and imaging with diffusing light," Physics Today, 48, 34-40, 1995.
  2. [2] H. B. Jiang, N. V. Iftimia, Y. Xu, J. A. Eggert, L. L. Fajardo, and K. L. Klove, "Near-infrared optical imaging of the breast with model-based reconstruction," Academic Radiology, 9, 186-194, 2002.
  3. [3] Z. Yuan, Q. Z. Zhang, E. S. Sobel, and H. B. Jiang, "Image-guided optical spectroscopy in diagnosis of osteoarthritis: a clinical study," Biomedical Optics Express, 1, 74-86, 2010.
  4. [4] Z. Yuan, "Combining independent component analysis and Granger causality to investigate brain network dynamics with fNIRS measurements," Biomedical Optics Express, 4, 2629-2643, 2013.
  5. [5] R. C. Mesquita, M. A. Franceschini, and D. A. Boas, "Resting state functional connectivity of the whole head with near-infrared spectroscopy," Biomedical Optics Express, 1, 324-336, 2010.
  6. [6] D. Lighter, J. Hughes, I. Styles, A. Filer, and H. Dehghani, "Multispectral, non-contact diffuse optical tomography of healthy human finger joints," Biomedical Optics Express, 9, 1445-1460, 2018.
  7. [7] V. Ntziachristos, "Fluorescence molecular imaging," Annual Review of Biomedical Engineering, 8, 1-33, 2006.
  8. [8] L. Wang, S. L. Jacques, and L. Zheng, "MCML—Monte Carlo modeling of light transport in multi-layered tissues," Computer Methods and Programs in Biomedicine, 47, 131-146, 1995.

Details

Primary Language

English

Subjects

Metrology, Applied and Industrial Physics

Journal Section

Research Article

Publication Date

November 30, 2019

Submission Date

April 5, 2019

Acceptance Date

September 23, 2019

Published in Issue

Year 2019 Volume: 14 Number: 2

APA
Mercan, T., Sevim, G., Üncü, Y. A., Uslu, S., Kazancı, H. Ö., & Canpolat, M. (2019). The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. Süleyman Demirel University Faculty of Arts and Science Journal of Science, 14(2), 285-295. https://doi.org/10.29233/sdufeffd.549528
AMA
1.Mercan T, Sevim G, Üncü YA, Uslu S, Kazancı HÖ, Canpolat M. The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. Süleyman Demirel University Faculty of Arts and Science Journal of Science. 2019;14(2):285-295. doi:10.29233/sdufeffd.549528
Chicago
Mercan, Tanju, Gençay Sevim, Yiğit Ali Üncü, Serkan Uslu, Hüseyin Özgür Kazancı, and Murat Canpolat. 2019. “The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography”. Süleyman Demirel University Faculty of Arts and Science Journal of Science 14 (2): 285-95. https://doi.org/10.29233/sdufeffd.549528.
EndNote
Mercan T, Sevim G, Üncü YA, Uslu S, Kazancı HÖ, Canpolat M (November 1, 2019) The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. Süleyman Demirel University Faculty of Arts and Science Journal of Science 14 2 285–295.
IEEE
[1]T. Mercan, G. Sevim, Y. A. Üncü, S. Uslu, H. Ö. Kazancı, and M. Canpolat, “The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography”, Süleyman Demirel University Faculty of Arts and Science Journal of Science, vol. 14, no. 2, pp. 285–295, Nov. 2019, doi: 10.29233/sdufeffd.549528.
ISNAD
Mercan, Tanju - Sevim, Gençay - Üncü, Yiğit Ali - Uslu, Serkan - Kazancı, Hüseyin Özgür - Canpolat, Murat. “The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography”. Süleyman Demirel University Faculty of Arts and Science Journal of Science 14/2 (November 1, 2019): 285-295. https://doi.org/10.29233/sdufeffd.549528.
JAMA
1.Mercan T, Sevim G, Üncü YA, Uslu S, Kazancı HÖ, Canpolat M. The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. Süleyman Demirel University Faculty of Arts and Science Journal of Science. 2019;14:285–295.
MLA
Mercan, Tanju, et al. “The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography”. Süleyman Demirel University Faculty of Arts and Science Journal of Science, vol. 14, no. 2, Nov. 2019, pp. 285-9, doi:10.29233/sdufeffd.549528.
Vancouver
1.Tanju Mercan, Gençay Sevim, Yiğit Ali Üncü, Serkan Uslu, Hüseyin Özgür Kazancı, Murat Canpolat. The Comparison of Reconstruction Algorithms for Diffuse Optical Tomography. Süleyman Demirel University Faculty of Arts and Science Journal of Science. 2019 Nov. 1;14(2):285-9. doi:10.29233/sdufeffd.549528

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