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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 8, Iss. 9 — Oct. 2, 2013

Image reconstruction of fluorescent molecular tomography based on the simplified matrix system

Wei Zou, Jiajun Wang, and David Dagan Feng  »View Author Affiliations


JOSA A, Vol. 30, Issue 8, pp. 1464-1475 (2013)
http://dx.doi.org/10.1364/JOSAA.30.001464


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Abstract

Fluorescent molecular tomographic image reconstruction usually involves repeatedly solving large-scale matrix equations, which are computationally expensive. In this paper, a method is proposed to reduce the scale of the matrix system. The Jacobian matrix is simplified by deleting the columns or the rows whose values are smaller than a threshold. Furthermore, the measurement data are divided into two groups and are used for iteration of image reconstruction in turn. The simplified system is then solved in the wavelet domain to further accelerate the process of solving the inverse problem. Simulation results demonstrate that the proposed method can significantly speed up the reconstruction process.

© 2013 Optical Society of America

OCIS Codes
(100.3190) Image processing : Inverse problems
(170.3010) Medical optics and biotechnology : Image reconstruction techniques
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.6960) Medical optics and biotechnology : Tomography
(260.2510) Physical optics : Fluorescence

ToC Category:
Medical Optics and Biotechnology

History
Original Manuscript: February 19, 2013
Revised Manuscript: June 6, 2013
Manuscript Accepted: June 10, 2013
Published: July 3, 2013

Virtual Issues
Vol. 8, Iss. 9 Virtual Journal for Biomedical Optics

Citation
Wei Zou, Jiajun Wang, and David Dagan Feng, "Image reconstruction of fluorescent molecular tomography based on the simplified matrix system," J. Opt. Soc. Am. A 30, 1464-1475 (2013)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-30-8-1464


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References

  1. Z. Xue, D. Han, and J. Tian, “Fast and robust reconstruction approach for sparse fluorescence tomography based on adaptive matching pursuit,” Proc. SPIE 8311, 831107 (2011). [CrossRef]
  2. M. Hassan and B. A. Klaunberg, “Biomedical applications of fluorescence imaging in vivo,” Comput. Med. 54, 635–644 (2004).
  3. V. Ntziachristos, “Fluorescence molecular imaging,” Annu. Rev. Biomed. Eng. 8, 1–33 (2006). [CrossRef]
  4. F. Fedele, J. P. Laible, and M. J. Eppstein, “Coupled complex adjoint sensitivities for frequency-domain fluorescence tomography: theory and vectorized implementation,” J. Comput. Phys. 187, 597–619 (2003). [CrossRef]
  5. G. Zacharakis, J. Ripoll, R. Weissleder, and V. Ntziachristos, “Fluorescent protein tomography scanner for small animal imaging,” IEEE Trans. Med. Imaging 24, 878–885 (2005). [CrossRef]
  6. X. Liu, X. Guo, F. Liu, Y. Zhang, H. Zhang, G. Hu, and J. Bai, “Imaging of indocyanine green perfusion in mouse liver with fluorescence diffuse optical tomography,” IEEE Trans. Biomed. Eng. 58, 2139–2143 (2011). [CrossRef]
  7. J. Haller, D. Hyde, N. Deliolanis, R. Kleine, M. Niedre, and V. Ntziachristos, “Visualization of pulmonary inflammation using noninvasive fluorescence molecular imaging,” J. Appl. Physiol. 104, 795–802 (2008). [CrossRef]
  8. V. Ntziachristos, E. A. Schellenberger, J. Ripoll, D. Yessayan, E. Graves, A. Bogdanov, L. Josephson, and R. Weissleder, “Visualization of antitumor treatment by means of fluorescence molecular tomography with an annexin V-Cy5.5 conjugate,” Proc. Natl. Acad. Sci. USA 101, 12294–12299 (2004). [CrossRef]
  9. A. Corlu, R. Choe, T. Durduran, M. A. Rosen, M. Schweiger, S. R. Arridge, M. D. Schnall, and A. G. Yodh, “Three-dimensional in vivo fluorescence diffuse optical tomography of breast cancer in humans,” Opt. Express 15, 6696–6716 (2007). [CrossRef]
  10. Y. Zhai and S. A. Cummer, “Fast tomographic reconstruction strategy for diffuse optical tomography,” Opt. Express 17, 5285–5297 (2009). [CrossRef]
  11. S. R. Arridge and M. Schweiger, “A general framework for iterative reconstruction algorithms in optical tomography using a finite element method,” in Computational Radiology and Imaging: Therapy and Diagnosis, IMA Volumes in Mathematics and Its Applications (Springer, 1998).
  12. S. G. Mallat, “A theory for multiresolution signal decomposition: the wavelet representation,” IEEE Trans. Pattern Anal. 11, 674–693 (1989). [CrossRef]
  13. F. Martelli, S. D. Bianco, and P. D. Ninni, “Perturbative forward solver software for small localized fluorophores in tissue,” Biomed. Opt. Express 3, 26–36 (2012). [CrossRef]
  14. S. R. Arridge, “Optical tomography in medical imaging,” Inverse Probl. 15, R41–R49 (1999). [CrossRef]
  15. A. P. Gibson, J. C. Hebden, and S. R. Arridge, “Recent advances in diffuse optical imaging,” Phys. Med. Biol. 50, R1–R43 (2005). [CrossRef]
  16. R. Roy, A. Godavarty, and E. M. Sevick-Muraca, “Fluorescence-enhanced optical tomography using referenced measurements of heterogeneous media,” IEEE Trans. Med. Imaging 22, 824–836 (2003). [CrossRef]
  17. M. J. Eppstein, F. Fedele, J. Laible, C. Zhang, A. Godavarty, and E. M. Sevick-Muraca, “A comparison of exact and approximate adjoint sensitivities in fluorescence tomography,” IEEE Trans. Med. Imaging 22, 1215–1223 (2003). [CrossRef]
  18. N. Ducros, “A time-domain wavelet-based approach for fluorescence diffuse optical tomography,” Med. Phys. 37, 2890–2900 (2010). [CrossRef]
  19. N. Ducros, C. D’andrea, G. Valentini, T. Rudge, S. Arridge, and A. Bassi, “Full-wavelet approach for fluorescence diffuse optical tomography with structured illumination,” Opt. Lett. 35, 3676–3678 (2010). [CrossRef]
  20. A. L. Frassati, J. M. Dinten, D. Georges, and A. D. Silva, “Model reduction using wavelet multiresolution technique applied to fluorescence diffuse optical tomography,” Appl. Opt. 48, 6878–6892 (2009). [CrossRef]
  21. L. Li and L. Qu, “Haar wavelet transform for gear fault diagnosis,” Auto. Eng. 25, 510–513 (2003).

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