Differential evolution approach for regularized bioluminescence tomography

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 9, 2010, Pages 2229-2238

  Cong, Alexander ^a   Cong, Wenxiang ^b   Lu, Yujie ^c   Santago, Peter ^d   Chatziioannou, Arion ^e   Wang, Ge ^f  

^a State University   (United States)

^b Medical Center Boulevard   (United States)

^c UNIVERSITY OF TEXAS MEDICAL SCHOOL   (United States)

^d WAKE FOREST SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Bioluminescence tomography (BLT); differential evolution (DE); diffusion approximation (DA); inverse source problem; reconstruction algorithm

Indexed keywords

BIOLUMINESCENCE TOMOGRAPHY; DIFFERENTIAL EVOLUTION; DIFFUSION APPROXIMATION (DA); INVERSE SOURCE PROBLEM; RECONSTRUCTION ALGORITHMS;

APPROXIMATION ALGORITHMS; BIOLOGY; CHAOS THEORY; EVOLUTIONARY ALGORITHMS; PHOSPHORESCENCE; REPAIR; TOMOGRAPHY;

BIOLUMINESCENCE;

ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; BIOENERGY; BIOLUMINESCENCE; BIOLUMINESCENCE TOMOGRAPHY; EVOLUTIONARY ALGORITHM; IMAGE QUALITY; IN VIVO STUDY; LIGHT; MOUSE; NONHUMAN; PHANTOM; PHOTON; PROCESS OPTIMIZATION; RELIABILITY; SIMULATION; TOMOGRAPHY;

ANIMALS; CELL LINE, TUMOR; COMPUTER SIMULATION; FINITE ELEMENT ANALYSIS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUCIFERASES; LUMINESCENT MEASUREMENTS; MICE; MICE, SCID; NEOPLASM TRANSPLANTATION; NEOPLASMS; PHANTOMS, IMAGING; TOMOGRAPHY; X-RAY MICROTOMOGRAPHY;

EID: 77955913459     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2010.2041452     Document Type: Article

References (32)

1. G. Wang, W. Cong, K. Durairaj, X. Qian, H. Shen, P. Sinn, E. Hoffman, G. McLennan, and M. Henry, "In vivo mouse studies with bioluminescence tomography," Opt. Exp., vol.14, no.17, pp. 7801-7809, 2006.
2. S. Li, W. Driessen, S. Sullivan, and H. Jiang, "Bioluminescence tomography based on phantoms with different concentrations of bioluminescent cancer cells," J. Opt. A: Pure Appl. Opt., vol.8, no.9, pp. 743-746, 2006.
3. C. Kuo, O. Coquoz, T. Troy, H. Xu, and B. Rice, "Three-dimensional reconstruction of in vivo bioluminescent sources based on multispectral imaging," J. Biomed. Opt., vol.12, no.2, pp. 024007-1-024007-12, 2007.
4. C. Contag and M. Bachmann, "Advances in in vivo bioluminescence imaging of gene expression," Annu. Rev. Biomed. Eng., vol.4, no.1, pp. 235-260, 2002. (Pubitemid 35217421)
5. B. Rice, M. Cable, and M. Nelson, "In vivo imaging of light-emitting probes," J. Biomed. Opt., vol.6, pp. 432-440, 2001.
6. G.Wang, H. Shen, K. Durairaj, X. Qian, andW. Cong, "The first bioluminescence tomography system for simultaneous acquisition of multiview and multispectral data," Int. J. Biomed. Imag., vol.2006, p. 58601, 2006.
7. A. Welch, M. Gemert, Optical-Thermal Response of Laser-Irradiated Tissue. New York: Plenum, 1995.
8. S. Arridge and J. Hebden, "Optical imaging in medicine. II. Modelling and reconstruction," Phys. Med. Biol., vol.42, no.5, pp. 841-853, 1997.
9. A. Klose and A. Hielscher, "Optical tomography using the timeindependent equation of radiative transfer. "Part 2: Inverse model," J. Quant. Spectrosc. Radiative Transf., vol. 72, no. 5, pp. 715-732, 2002. (Pubitemid 34082276)
10. G. Abdoulaev and A. Hielscher, "Three-dimensional optical tomography with the equation of radiative transfer," J. Electron. Imag., vol.12, pp. 594-601, 2003.
11. T. Tarvainen, M. Vauhkonen, V. Kolehmainen, and J. Kaipio, "Finite element model for the coupled radiative transfer equation and diffusion approximation," Int. J. Numer. Methods Eng., vol.65, pp. 383-405, 2006.
12. A. Klose and E. Larsen, "Light transport in biological tissue based on the simplified spherical harmonics equations," J. Comput. Phys., vol.220, no.1, pp. 441-470, 2006.
13. S. Arridge, "Optical tomography in medical imaging," Inverse Probl., vol.15, no.2, pp. R41-R93, 1999.
14. S. Arridge,H.Dehghani,M. Schweiger, and E. Okada, "The finite element model for the propagation of light in scattering media: A direct method for domains with nonscattering regions," Med. Phys., vol.27, pp. 252-264, 2000.
15. W. Cong, G. Wang, D. Kumar, Y. Liu, M. Jiang, L. Wang, E. Hoffman, G. McLennan, P. McCray, J. Zabner et al., "Practical reconstruction method for bioluminescence tomography," Opt. Exp., vol.13, no.18, pp. 6756-6771, 2005. (Pubitemid 41305547)
16. A. Chaudhari, F.Darvas, J. Bading, R. Moats, P.Conti, D. Smith, S.Cherry, and R. Leahy, "Hyperspectral and multispectral bioluminescence optical tomography for small animal imaging," Phys. Med. Biol., vol.50, no.23, pp. 5421-5441, 2005.
17. H. Dehghani, S. Davis, S. Jiang, B. Pogue, K. Paulsen, and M. Patterson, "Spectrally resolved bioluminescence optical tomography," Opt. Lett., vol.31, no.3, pp. 365-367, 2006.
18. A. Cong and G. Wang, "Multi-spectral bioluminescence tomography: Methodology and simulation," Int. J. Biomed. Imag., vol.2006, pp. 57614-1-57614-7, 2006.
19. V. Soloviev, "Tomographic bioluminescence imagingwith varying boundary conditions," Appl. Opt., vol.46, no.14, pp. 2778-2784, 2007.
20. B. Pogue, S. Geimer, T. McBride, S. Jiang, U. Osterberg, and K. Paulsen, "Three-dimensional simulation of near-infrared diffusion in tissue: Boundary condition and geometry analysis for finite-element image reconstruction," Appl. Opt., vol.40, no.4, pp. 588-600, 2001.
21. M. Schweiger, S. Arridge, M. Hiraoka, and D. Delpy, "The finite element method for the propagation of light in scattering media: Boundary and source conditions," Med. Phys., vol.22, pp. 1779-1792, 1995.
22. S. Arridge, M. Schweiger, M. Hiraoka, and D. Delpy, "A finite element approach for modeling photon transport in tissue," Med. Phys., vol.20, pp. 299-309, 1993.
23. Y. Lv, J. Tian,W.Cong, G.Wang, J. Luo,W.Yang, andH. Li, "A multilevel adaptive finite element algorithm for bioluminescence tomography," Opt. Exp., vol.14, no.18, pp. 8211-8223, 2006.
24. M. Jiang, T. Zhou, J. Cheng,W. Cong, andG.Wang, "Image reconstruction for bioluminescence tomography from partial measurement," Opt. Exp., vol.15, no.18, pp. 11 095-11 116, 2007.
25. G. Wang, Y. Li, and M. Jiang, "Uniqueness theorems in bioluminescence tomography," Med. Phys., vol.31, pp. 2289-2299, 2004.
26. V. Feoktistov, Differential Evolution: In Search of Solutions. NewYork: Springer-Verlag, 2006.
27. J. Vesterstrom and R. Thomsen, "A comparative study of differential evolution, particle swarm optimization, and evolutionary algorithms on numerical benchmark problems," in Proc. Congr. Evol. Comput., 2004, vol.2, pp. 1980-1987.
28. K. Penev and G. Littlefair, "Free Search-A comparative analysis," Inf. Sci., vol.172, no.1-2, pp. 173-193, 2005.
29. K. Price, R. Storn, and J. Lampinen, Differential Evolution: A Practical Approach to Global Optimization. New York: Springer-Verlag, 2005.
30. L. Wang, S. Jacques, and L. Zheng, "MCML-Monte Carlo modeling of light transport in multi-layered tissues," Comput. Methods Programs Biomed., vol.47, no.2, pp. 131-146, 1995.
31. G. Alexandrakis, F. Rannou, and A. Chatziioannou, "Effect of optical property estimation accuracy on tomographic bioluminescence imaging: Simulation of a combined optical-PET (OPET) system," Phys.Med. Biol., vol.51, no.8, pp. 2045-2053, 2006.
32. W. Cheong, S. Prahl, and A.Welch, "A review of the optical properties of biological tissues," IEEE J. Quantum Electron., vol.26, no.12, pp. 2166-2185, Dec. 1990.