Abstract

Three-dimensional (3-D) models of light propagation in diffuse optical tomography provide an accurate representation of scattering in tissue. Here the use of spectral priors, shown to improve quantification of functional parameters in 2-D, has been extended to 3-D. To make 3-D spectral imaging computationally tractable, a novel technique is presented to deal with the large data set. The basic principle consists of using a dynamic criterion to select optimal data subsets that capture the major changes in the imaging domain. Results from three test cases showed comparable image quality and accuracy with less than 4% difference between the uses of data subset approach versus the entire dataset. Tested on simulated data from two different models, the algorithm was able to discern multiple objects successfully with an average error of 30% in quantifying multiple regions and less than 1% in quantifying the background.

©2006 Optical Society of America

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2005 (10)

Q. Zhang, T.J. Brukilacchio, A. Li, J.J. Stott, T. Chaves, E. Hillman, T. Wu, M. Chorlton, E. Rafferty, R.H. Moore, D.B. Kopans, and D.A. Boas, “Coregistered tomographic x-ray and optical breast imaging: initial results,” J Biomed. Opt. 10, 024033–0240339 (2005).
[Crossref] [PubMed]

Q. Zhu, E.B. Cronin, A.A. Currier, H.S. Vine, M. Huang, N. Chen, and C. Xu, “Benign versus malignant breast masses: optical differentiation with US-guided optical imaging reconstruction,” Radiology,  237(1): p. 57–66 (2005).
[Crossref]

S. Srinivasan, B. W. Pogue, S. Jiang, H. Dehghani, and K. D. Paulsen, “Spectrally constrained chromophore and scattering NIR tomography provides quantitative and robust reconstruction,” Appl. Opt. 44, 1858–69 (2005).
[Crossref] [PubMed]

A. Corlu, R. Choe, T. Durduran, K. Lee, M. Schweiger, S.R. Arridge, E.M. Hillman, and A.G. Yodh, “Diffuse optical tomography with spectral constraints and wavelength optimization,” Appl. Opt. 44, 2082–2093 (2005).
[Crossref] [PubMed]

X. Intes, S. Djeziri, Z. Ichalalene, N. Mincu, Y. Wang, P. St-Jean, F. Lesage, D. Hall, D. Boas, M. Polyzos, P. Fleiszer, and B. Mesurolle, “Time-Domain Optical Mammography SoftScan: Initial Results,” Acad. Radiology 12, 934–947 (2005).
[Crossref]

S. Srinivasan, B.W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W.A. Wells, S.P. Poplack, and K. D. Paulsen, “Near-infrared characterization of breast tumors in-vivo using spectrally-constrained reconstruction,” Technology in Cancer Research and Treatment 4, 513–526 (2005).
[PubMed]

G. Boverman, E.L. Miller, A. Li, Q. Zhang, T. Chaves, D.H. Brooks, and D. Boas, “Quantitative spectroscopic diffuse optical tomography of the breast guided by imperfect a priori structural information,” Phys. Med. Biol. 50, 3941–3956 (2005).
[Crossref] [PubMed]

M. Schweiger, S.R. Arridge, and I. Nissila, “Gauss-Newton method for image reconstruction in diffuse optical tomography,” Phys. Med. Biol. 50, 2365–2386 (2005).
[Crossref] [PubMed]

T. Dierkes, D. Grosenick, K.T. Moesta, M. Moller, P.M. Schlag, H. Rinneberg, and S.R. Arridge, “Reconstruction of optical properties of phantom and breast lesion in vivo from paraxial scanning data,” Phys. Med. Biol. 50, 2519–2542 (2005).
[Crossref] [PubMed]

B. Brooksby, S. Srinivasan, S. Jiang, H. Dehghani, B.W. Pogue, and K.D. Paulsen, “Spectral-prior information improves Near-Infrared diffuse tomography more than spatial-prior,” Opt. Lett. 30, 1968–70 (2005).
[Crossref] [PubMed]

2004 (3)

M. Doyley, E.E. Van Houten, J.B. Weaver, S.P. Poplack, L. Duncan, F.E. Kennedy, and K.D. Paulsen, “Sheer modulus estimation using parallelized partial volumetric reconstruction,” IEEE Trans Med Imaging 23, 1404–1416 (2004).
[Crossref] [PubMed]

A. Li, Q. Zhang, J.P. Culver, E.L. Miller, and D.A. Boas, “Reconstructing chromosphere concentration images directly by continuous-wave diffuse optical tomography,” Opt. Lett. 29, 256–8 (2004).
[Crossref] [PubMed]

D. B. Jakubowski, A.E. Cerussi, F. Bevilacqua, N. Shah, D. Hsiang, J. Butler, and B.J. Tromberg, “Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study,” J Biomed. Opt. 9, 230–8 (2004).
[Crossref] [PubMed]

2003 (8)

S. Srinivasan, B.W. Pogue, S. Jiang, H. Dehghani, C. Kogel, S. Soho, J.J. Gibson, T.D. Tosteson, S.P. Poplack, and K.D. Paulsen, “Interpreting hemoglobin and water concentration, oxygen saturation and scattering measured in vivo by near-infrared breast tomography,” PNAS,  100(21): p. 12349–12354 (2003).
[Crossref]

B. Brooksby, H. Dehghani, B. W. Pogue, and K. D. Paulsen, “Near infrared (NIR) tomography breast image reconstruction with apriori structural information from MRI: algorithm development for reconstructing heterogeneities” IEEE J. Sel. Top. Quantum Electron. 9, 199–209 (2003).
[Crossref]

H. Dehghani, B.W. Pogue, J. Shudong, B. Brooksby, and K.D. Paulsen, “Three-dimensional opticaltomography: resolution in small-object imaging,” Appl. Opt. 42, 3117–3128 (2003).
[Crossref] [PubMed]

A. Corlu, T. Durduran, R. Choe, M. Schweiger, E.M. Hillman, S.R. Arridge, and A.G. Yodh, “Uniqueness and wavelength optimization in continuous-wave multispectral diffuse optical tomography,” Opt. Lett. 28, 2339–41 (2003).
[Crossref] [PubMed]

I. V. Meglinski and S. J. Matcher, “Computer simulation of the skin reflectance spectra,” Computer Methods and Programs in Biomedicine 70, 179–186 (2003).
[Crossref] [PubMed]

J. P. Culver, R. Choe, M.J. Holboke, L. Zubkov, T. Durduran, A. Slemp, V. Ntziachristos, B. Chance, and A.G. Yodh, “Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: Evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging,” Med. Phys. 30, 235–247 (2003).
[Crossref] [PubMed]

B. Brandstatter, K. Hollaus, H. Hutten, M. Mayer, R. Merwa, and H. Scharfetter, “Direct estimation of Cole parameters in multifrequency EIT using a regularized Gauss-Newton method,” Physiol, Meas,  24, 437–48 (2003).
[Crossref]

H. Dehghani, B. W. Pogue, S. P. Poplack, and K. D. Paulsen, “Multiwavelength three-dimensional near-infrared tomography of the breast: initial simulation, phantom, and clinical results,” Appl. Opt. 42, 135–145 (2003).
[Crossref] [PubMed]

2002 (2)

G. Strangman, D. A. Boas, and J. P. Sutton, “Non-invasive neuroimaging using near-infrared light,” Biol. Psychiatry 52, 679–693 (2002).
[Crossref] [PubMed]

J. C. Hebden, A. Gibson, R. M. Yusof, N. Everdell, E. M. Hillman, D. T. Delpy, S. R. Arridge, T. Austin, J. H. Meek, and J. S. Wyatt, “Three-dimensional optical tomography of the premature infant brain,” Phys. Med. Biol. 47, 4155–66 (2002).
[Crossref] [PubMed]

2001 (3)

B. W. Pogue, S. P. Poplack, T.O. McBride, W.A. Wells, U.L. O.K. S., K.D. Osterberg, and Paulsen, “Quantitative Hemoglobin Tomography with Diffuse Near-Infrared Spectroscopy: Pilot Results in the Breast,” Radiology 218, 261–6 (2001).
[PubMed]

J. C. Hebden, H. Veenstra, H. Dehghani, E.M. Hillman, M. Schweiger, S.R. Arridge, and D.T. Delpy, “Three-dimensional time-resolved optical tomography of a conical breast phantom,” Appl. Opt. 40, 3278–3287 (2001).
[Crossref]

M. J. Eppstein, D.E. Dougherty, D.J. Hawrysz, and E.M. Sevick, “Three-dimensional bayesian optical image reconstruction with domain decomposition,” IEEE Trans Med Imaging 20, 147–162 (2001).
[Crossref] [PubMed]

2000 (3)

E. E. Van Houten, J.B. Weaver, M.I. Miga, F.E. Kennedy, and K.D. Paulsen, “Elasticity reconstruction from experimental MR displacement data: initial experience with an overlapping subzone finite element inversion process,” Med. Phys. 27, 101–107 (2000).
[Crossref] [PubMed]

B. J. Tromberg, N. Shah, R. Lanning, A. Cerussi, J. Espinoza, T. Pham, L. Svaasand, and J. Butler, “Non-invasive in vivo characterization of breast tumors using photon migration spectroscopy,” Neoplasia (New York),  2, 26–40 (2000).
[Crossref]

S. P. Poplack, A.N. Tosteson, M.R. Grove, W.A. Wells, and P.A. Carney, “Mammography in 53,803 women from the New Hampshire mammography network,” Radiology,  217: p. 832–840 (2000).
[PubMed]

1999 (4)

M. Schweiger and S. R. Arridge, “Optical tomographic reconstruction in a complex head model using apriori region boundary information,” Phys. Med. Biol. 44, 2703–2721 (1999).
[Crossref] [PubMed]

E. E. W. Van Houten, K.D. Paulsen, M.I. Miga, F.E. Kennedy, and J.B. Weaver, “An overlapping subzone technique for MR-based elastic property reconstruction,” Mag. Res. Med. 42, 779–786 (1999).
[Crossref]

B. W. Pogue, T. McBride, U. Osterberg, and K. Paulsen, “Comparison of imaging geometries for diffuse optical tomography of tissue,” Opt. Express 4, 270–286 (1999).
[Crossref] [PubMed]

S. R. Arridge, “Optical tomography in medical imaging,” Inverse Problems,  15, R41–R93 (1999).
[Crossref]

1998 (4)

1997 (4)

J. R. Mourant, T. Fuselier, J. Boyer, T.M. Johnson, and I.J. Bigio, “Predictions and measurements of scattering and absorption over broad wavelength ranges in tissue phantoms,” Appl. Opt. 36, 949–957 (1997).
[Crossref] [PubMed]

S. R. Arridge and M. Schweiger, “Image reconstruction in optical tomography,” Phil. Trans. R. Soc. Lond. B 352, 717–726 (1997).
[Crossref]

E. Gratton, S. Fantini, M. A. Franceschini, G. Gratton, and M. Fabiani, “Measurements of scattering and absorption changes in muscle and brain,” Phil. Trans. R. Soc. Lond. B 352, 727–735 (1997).
[Crossref]

J. S. Wyatt, “Cerebral oxygenation and haemodynamics in the foetus and newborn infant,” Phil. Trnas. R. Soc. Lond. B,  352, 697–700 (1997).
[Crossref]

1995 (5)

M. Schweiger, S.R. Arridge, M. Hiraoka, and D.T. Delpy, “The finite element method for the propagation of light in scattering media: boundary and source conditions,” Med. Phys. 22, 1779–1792 (1995).
[Crossref] [PubMed]

K. D. Paulsen and H. Jiang, “Spatially varying optical property reconstruction using a finite element diffusion equation approximation,” Med. Phys. 22, 691–701 (1995).
[Crossref] [PubMed]

K. D. Paulsen, P.M. Meaney, M.J. Moskowitz, and J.M. Sullivan, “A dual mesh scheme for finite element based reconstruction algorithms,” IEEE Trans Med, Imaging 14, 504–514 (1995).
[Crossref]

S. R. Arridge, “Photon-measurement density functions. Part I: Analytical forms,” Appl. Opt. 34, 7395–7409 (1995).
[Crossref] [PubMed]

M.A. O’Leary, D. A. Boas, B. Chance, and A. G. Yodh, “Experimental images of heterogeneous turbid media by frequency-domain diffusing-photon tomography,” Opt. Lett. 20,426–428 (1995).
[Crossref] [PubMed]

1992 (2)

T. J. Farrell, M. S. Patterson, and B. C. Wilson, “A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties,” Med. Phys. 19, 879–888 (1992).
[Crossref] [PubMed]

P. Van der Zee, M. Cope, S. R. Arridge, M. Essenpreis, L. A. Potter, A. D. Edwards, J. S. Wyatt, D. C. McCormick, S. C. Roth, and E. O. Reynolds, et al, “Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter-optode spacing,” Adv. Expt. Med. Biol. 316, 143–53 (1992).
[Crossref]

1991 (1)

1990 (1)

M. S. Patterson, B.C. Wilson, and D.R. Wyman, “The propagation of optical radiation in tissue II. Optical properties of tissues and resulting fluence distributions,” Lasers Med. Sci. 6, 379–390 (1990).
[Crossref]

1989 (1)

P. Vaupel, K. F., and O. P., “Blood Flow, Oxygen and Nutrient Supply, and Metabolic Microenvironment of Human Tumors: A Review,” Cancer Research 49, 6449–6465 (1989).
[PubMed]

1986 (1)

J. -L. Boulnois, “Photophysical processes in recent medical laser developments: a review,” Lasers in Medical Science 1, 47–66 (1986).
[Crossref]

1977 (1)

F. F. Jobsis, “Non-invasive, infra-red monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters,” Science 198, 1264–1267 (1977).
[Crossref] [PubMed]

1973 (1)

Arridge, S. R.

J. C. Hebden, A. Gibson, R. M. Yusof, N. Everdell, E. M. Hillman, D. T. Delpy, S. R. Arridge, T. Austin, J. H. Meek, and J. S. Wyatt, “Three-dimensional optical tomography of the premature infant brain,” Phys. Med. Biol. 47, 4155–66 (2002).
[Crossref] [PubMed]

M. Schweiger and S. R. Arridge, “Optical tomographic reconstruction in a complex head model using apriori region boundary information,” Phys. Med. Biol. 44, 2703–2721 (1999).
[Crossref] [PubMed]

S. R. Arridge, “Optical tomography in medical imaging,” Inverse Problems,  15, R41–R93 (1999).
[Crossref]

S. R. Arridge and M. Schwieger, “Gradient-based optimisation scheme for optical tomography,” Opt. Express 2,. 212–226 (1998).
[Crossref]

S. R. Arridge and M. Schweiger, “Image reconstruction in optical tomography,” Phil. Trans. R. Soc. Lond. B 352, 717–726 (1997).
[Crossref]

S. R. Arridge, “Photon-measurement density functions. Part I: Analytical forms,” Appl. Opt. 34, 7395–7409 (1995).
[Crossref] [PubMed]

P. Van der Zee, M. Cope, S. R. Arridge, M. Essenpreis, L. A. Potter, A. D. Edwards, J. S. Wyatt, D. C. McCormick, S. C. Roth, and E. O. Reynolds, et al, “Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter-optode spacing,” Adv. Expt. Med. Biol. 316, 143–53 (1992).
[Crossref]

Arridge, S.R.

A. Corlu, R. Choe, T. Durduran, K. Lee, M. Schweiger, S.R. Arridge, E.M. Hillman, and A.G. Yodh, “Diffuse optical tomography with spectral constraints and wavelength optimization,” Appl. Opt. 44, 2082–2093 (2005).
[Crossref] [PubMed]

M. Schweiger, S.R. Arridge, and I. Nissila, “Gauss-Newton method for image reconstruction in diffuse optical tomography,” Phys. Med. Biol. 50, 2365–2386 (2005).
[Crossref] [PubMed]

T. Dierkes, D. Grosenick, K.T. Moesta, M. Moller, P.M. Schlag, H. Rinneberg, and S.R. Arridge, “Reconstruction of optical properties of phantom and breast lesion in vivo from paraxial scanning data,” Phys. Med. Biol. 50, 2519–2542 (2005).
[Crossref] [PubMed]

A. Corlu, T. Durduran, R. Choe, M. Schweiger, E.M. Hillman, S.R. Arridge, and A.G. Yodh, “Uniqueness and wavelength optimization in continuous-wave multispectral diffuse optical tomography,” Opt. Lett. 28, 2339–41 (2003).
[Crossref] [PubMed]

J. C. Hebden, H. Veenstra, H. Dehghani, E.M. Hillman, M. Schweiger, S.R. Arridge, and D.T. Delpy, “Three-dimensional time-resolved optical tomography of a conical breast phantom,” Appl. Opt. 40, 3278–3287 (2001).
[Crossref]

M. Schweiger and S.R. Arridge, “Comparison of two- and three-dimensional reconstruction methods in optical tomography,” Appl. Opt. 37, 7419–7428 (1998).
[Crossref]

M. Schweiger, S.R. Arridge, M. Hiraoka, and D.T. Delpy, “The finite element method for the propagation of light in scattering media: boundary and source conditions,” Med. Phys. 22, 1779–1792 (1995).
[Crossref] [PubMed]

Austin, T.

J. C. Hebden, A. Gibson, R. M. Yusof, N. Everdell, E. M. Hillman, D. T. Delpy, S. R. Arridge, T. Austin, J. H. Meek, and J. S. Wyatt, “Three-dimensional optical tomography of the premature infant brain,” Phys. Med. Biol. 47, 4155–66 (2002).
[Crossref] [PubMed]

Bevilacqua, F.

D. B. Jakubowski, A.E. Cerussi, F. Bevilacqua, N. Shah, D. Hsiang, J. Butler, and B.J. Tromberg, “Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study,” J Biomed. Opt. 9, 230–8 (2004).
[Crossref] [PubMed]

Bigio, I.J.

Boas, D.

G. Boverman, E.L. Miller, A. Li, Q. Zhang, T. Chaves, D.H. Brooks, and D. Boas, “Quantitative spectroscopic diffuse optical tomography of the breast guided by imperfect a priori structural information,” Phys. Med. Biol. 50, 3941–3956 (2005).
[Crossref] [PubMed]

X. Intes, S. Djeziri, Z. Ichalalene, N. Mincu, Y. Wang, P. St-Jean, F. Lesage, D. Hall, D. Boas, M. Polyzos, P. Fleiszer, and B. Mesurolle, “Time-Domain Optical Mammography SoftScan: Initial Results,” Acad. Radiology 12, 934–947 (2005).
[Crossref]

Boas, D. A.

Boas, D.A.

Q. Zhang, T.J. Brukilacchio, A. Li, J.J. Stott, T. Chaves, E. Hillman, T. Wu, M. Chorlton, E. Rafferty, R.H. Moore, D.B. Kopans, and D.A. Boas, “Coregistered tomographic x-ray and optical breast imaging: initial results,” J Biomed. Opt. 10, 024033–0240339 (2005).
[Crossref] [PubMed]

A. Li, Q. Zhang, J.P. Culver, E.L. Miller, and D.A. Boas, “Reconstructing chromosphere concentration images directly by continuous-wave diffuse optical tomography,” Opt. Lett. 29, 256–8 (2004).
[Crossref] [PubMed]

Boulnois, J. -L.

J. -L. Boulnois, “Photophysical processes in recent medical laser developments: a review,” Lasers in Medical Science 1, 47–66 (1986).
[Crossref]

Boverman, G.

G. Boverman, E.L. Miller, A. Li, Q. Zhang, T. Chaves, D.H. Brooks, and D. Boas, “Quantitative spectroscopic diffuse optical tomography of the breast guided by imperfect a priori structural information,” Phys. Med. Biol. 50, 3941–3956 (2005).
[Crossref] [PubMed]

Boyer, J.

Brandstatter, B.

B. Brandstatter, K. Hollaus, H. Hutten, M. Mayer, R. Merwa, and H. Scharfetter, “Direct estimation of Cole parameters in multifrequency EIT using a regularized Gauss-Newton method,” Physiol, Meas,  24, 437–48 (2003).
[Crossref]

Brooks, D.H.

G. Boverman, E.L. Miller, A. Li, Q. Zhang, T. Chaves, D.H. Brooks, and D. Boas, “Quantitative spectroscopic diffuse optical tomography of the breast guided by imperfect a priori structural information,” Phys. Med. Biol. 50, 3941–3956 (2005).
[Crossref] [PubMed]

Brooksby, B.

S. Srinivasan, B.W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W.A. Wells, S.P. Poplack, and K. D. Paulsen, “Near-infrared characterization of breast tumors in-vivo using spectrally-constrained reconstruction,” Technology in Cancer Research and Treatment 4, 513–526 (2005).
[PubMed]

B. Brooksby, S. Srinivasan, S. Jiang, H. Dehghani, B.W. Pogue, and K.D. Paulsen, “Spectral-prior information improves Near-Infrared diffuse tomography more than spatial-prior,” Opt. Lett. 30, 1968–70 (2005).
[Crossref] [PubMed]

H. Dehghani, B.W. Pogue, J. Shudong, B. Brooksby, and K.D. Paulsen, “Three-dimensional opticaltomography: resolution in small-object imaging,” Appl. Opt. 42, 3117–3128 (2003).
[Crossref] [PubMed]

B. Brooksby, H. Dehghani, B. W. Pogue, and K. D. Paulsen, “Near infrared (NIR) tomography breast image reconstruction with apriori structural information from MRI: algorithm development for reconstructing heterogeneities” IEEE J. Sel. Top. Quantum Electron. 9, 199–209 (2003).
[Crossref]

B. Brooksby, B.W. Pogue, S. Jiang, H. Dehghani, S. Srinivasan, C. Kogel, J. Weaver, S.P. Poplack, and K.D. Paulsen, “Imaging Breast Adipose and Fibroglandular Tissue Molecular Signatures using Hybrid MRI-Guided Near-Infrared Spectral Tomography,” Proceedings of the National Academy of Sciences (in press), (2006).
[Crossref]

Brukilacchio, T.J.

Q. Zhang, T.J. Brukilacchio, A. Li, J.J. Stott, T. Chaves, E. Hillman, T. Wu, M. Chorlton, E. Rafferty, R.H. Moore, D.B. Kopans, and D.A. Boas, “Coregistered tomographic x-ray and optical breast imaging: initial results,” J Biomed. Opt. 10, 024033–0240339 (2005).
[Crossref] [PubMed]

Butler, J.

D. B. Jakubowski, A.E. Cerussi, F. Bevilacqua, N. Shah, D. Hsiang, J. Butler, and B.J. Tromberg, “Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study,” J Biomed. Opt. 9, 230–8 (2004).
[Crossref] [PubMed]

B. J. Tromberg, N. Shah, R. Lanning, A. Cerussi, J. Espinoza, T. Pham, L. Svaasand, and J. Butler, “Non-invasive in vivo characterization of breast tumors using photon migration spectroscopy,” Neoplasia (New York),  2, 26–40 (2000).
[Crossref]

Carney, P.A.

S. P. Poplack, A.N. Tosteson, M.R. Grove, W.A. Wells, and P.A. Carney, “Mammography in 53,803 women from the New Hampshire mammography network,” Radiology,  217: p. 832–840 (2000).
[PubMed]

Cerussi, A.

B. J. Tromberg, N. Shah, R. Lanning, A. Cerussi, J. Espinoza, T. Pham, L. Svaasand, and J. Butler, “Non-invasive in vivo characterization of breast tumors using photon migration spectroscopy,” Neoplasia (New York),  2, 26–40 (2000).
[Crossref]

Cerussi, A.E.

D. B. Jakubowski, A.E. Cerussi, F. Bevilacqua, N. Shah, D. Hsiang, J. Butler, and B.J. Tromberg, “Monitoring neoadjuvant chemotherapy in breast cancer using quantitative diffuse optical spectroscopy: a case study,” J Biomed. Opt. 9, 230–8 (2004).
[Crossref] [PubMed]

Chance, B.

J. P. Culver, R. Choe, M.J. Holboke, L. Zubkov, T. Durduran, A. Slemp, V. Ntziachristos, B. Chance, and A.G. Yodh, “Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: Evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging,” Med. Phys. 30, 235–247 (2003).
[Crossref] [PubMed]

M.A. O’Leary, D. A. Boas, B. Chance, and A. G. Yodh, “Experimental images of heterogeneous turbid media by frequency-domain diffusing-photon tomography,” Opt. Lett. 20,426–428 (1995).
[Crossref] [PubMed]

Chaves, T.

G. Boverman, E.L. Miller, A. Li, Q. Zhang, T. Chaves, D.H. Brooks, and D. Boas, “Quantitative spectroscopic diffuse optical tomography of the breast guided by imperfect a priori structural information,” Phys. Med. Biol. 50, 3941–3956 (2005).
[Crossref] [PubMed]

Q. Zhang, T.J. Brukilacchio, A. Li, J.J. Stott, T. Chaves, E. Hillman, T. Wu, M. Chorlton, E. Rafferty, R.H. Moore, D.B. Kopans, and D.A. Boas, “Coregistered tomographic x-ray and optical breast imaging: initial results,” J Biomed. Opt. 10, 024033–0240339 (2005).
[Crossref] [PubMed]

Chen, N.

Q. Zhu, E.B. Cronin, A.A. Currier, H.S. Vine, M. Huang, N. Chen, and C. Xu, “Benign versus malignant breast masses: optical differentiation with US-guided optical imaging reconstruction,” Radiology,  237(1): p. 57–66 (2005).
[Crossref]

Choe, R.

A. Corlu, R. Choe, T. Durduran, K. Lee, M. Schweiger, S.R. Arridge, E.M. Hillman, and A.G. Yodh, “Diffuse optical tomography with spectral constraints and wavelength optimization,” Appl. Opt. 44, 2082–2093 (2005).
[Crossref] [PubMed]

A. Corlu, T. Durduran, R. Choe, M. Schweiger, E.M. Hillman, S.R. Arridge, and A.G. Yodh, “Uniqueness and wavelength optimization in continuous-wave multispectral diffuse optical tomography,” Opt. Lett. 28, 2339–41 (2003).
[Crossref] [PubMed]

J. P. Culver, R. Choe, M.J. Holboke, L. Zubkov, T. Durduran, A. Slemp, V. Ntziachristos, B. Chance, and A.G. Yodh, “Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: Evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging,” Med. Phys. 30, 235–247 (2003).
[Crossref] [PubMed]

Chorlton, M.

Q. Zhang, T.J. Brukilacchio, A. Li, J.J. Stott, T. Chaves, E. Hillman, T. Wu, M. Chorlton, E. Rafferty, R.H. Moore, D.B. Kopans, and D.A. Boas, “Coregistered tomographic x-ray and optical breast imaging: initial results,” J Biomed. Opt. 10, 024033–0240339 (2005).
[Crossref] [PubMed]

Cope, M.

P. Van der Zee, M. Cope, S. R. Arridge, M. Essenpreis, L. A. Potter, A. D. Edwards, J. S. Wyatt, D. C. McCormick, S. C. Roth, and E. O. Reynolds, et al, “Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter-optode spacing,” Adv. Expt. Med. Biol. 316, 143–53 (1992).
[Crossref]

Corlu, A.

Cronin, E.B.

Q. Zhu, E.B. Cronin, A.A. Currier, H.S. Vine, M. Huang, N. Chen, and C. Xu, “Benign versus malignant breast masses: optical differentiation with US-guided optical imaging reconstruction,” Radiology,  237(1): p. 57–66 (2005).
[Crossref]

Culver, J. P.

J. P. Culver, R. Choe, M.J. Holboke, L. Zubkov, T. Durduran, A. Slemp, V. Ntziachristos, B. Chance, and A.G. Yodh, “Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: Evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging,” Med. Phys. 30, 235–247 (2003).
[Crossref] [PubMed]

Culver, J.P.

Currier, A.A.

Q. Zhu, E.B. Cronin, A.A. Currier, H.S. Vine, M. Huang, N. Chen, and C. Xu, “Benign versus malignant breast masses: optical differentiation with US-guided optical imaging reconstruction,” Radiology,  237(1): p. 57–66 (2005).
[Crossref]

Dehghani, H.

B. Brooksby, S. Srinivasan, S. Jiang, H. Dehghani, B.W. Pogue, and K.D. Paulsen, “Spectral-prior information improves Near-Infrared diffuse tomography more than spatial-prior,” Opt. Lett. 30, 1968–70 (2005).
[Crossref] [PubMed]

S. Srinivasan, B. W. Pogue, S. Jiang, H. Dehghani, and K. D. Paulsen, “Spectrally constrained chromophore and scattering NIR tomography provides quantitative and robust reconstruction,” Appl. Opt. 44, 1858–69 (2005).
[Crossref] [PubMed]

S. Srinivasan, B.W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W.A. Wells, S.P. Poplack, and K. D. Paulsen, “Near-infrared characterization of breast tumors in-vivo using spectrally-constrained reconstruction,” Technology in Cancer Research and Treatment 4, 513–526 (2005).
[PubMed]

H. Dehghani, B.W. Pogue, J. Shudong, B. Brooksby, and K.D. Paulsen, “Three-dimensional opticaltomography: resolution in small-object imaging,” Appl. Opt. 42, 3117–3128 (2003).
[Crossref] [PubMed]

H. Dehghani, B. W. Pogue, S. P. Poplack, and K. D. Paulsen, “Multiwavelength three-dimensional near-infrared tomography of the breast: initial simulation, phantom, and clinical results,” Appl. Opt. 42, 135–145 (2003).
[Crossref] [PubMed]

B. Brooksby, H. Dehghani, B. W. Pogue, and K. D. Paulsen, “Near infrared (NIR) tomography breast image reconstruction with apriori structural information from MRI: algorithm development for reconstructing heterogeneities” IEEE J. Sel. Top. Quantum Electron. 9, 199–209 (2003).
[Crossref]

S. Srinivasan, B.W. Pogue, S. Jiang, H. Dehghani, C. Kogel, S. Soho, J.J. Gibson, T.D. Tosteson, S.P. Poplack, and K.D. Paulsen, “Interpreting hemoglobin and water concentration, oxygen saturation and scattering measured in vivo by near-infrared breast tomography,” PNAS,  100(21): p. 12349–12354 (2003).
[Crossref]

J. C. Hebden, H. Veenstra, H. Dehghani, E.M. Hillman, M. Schweiger, S.R. Arridge, and D.T. Delpy, “Three-dimensional time-resolved optical tomography of a conical breast phantom,” Appl. Opt. 40, 3278–3287 (2001).
[Crossref]

B. Brooksby, B.W. Pogue, S. Jiang, H. Dehghani, S. Srinivasan, C. Kogel, J. Weaver, S.P. Poplack, and K.D. Paulsen, “Imaging Breast Adipose and Fibroglandular Tissue Molecular Signatures using Hybrid MRI-Guided Near-Infrared Spectral Tomography,” Proceedings of the National Academy of Sciences (in press), (2006).
[Crossref]

Delpy, D. T.

J. C. Hebden, A. Gibson, R. M. Yusof, N. Everdell, E. M. Hillman, D. T. Delpy, S. R. Arridge, T. Austin, J. H. Meek, and J. S. Wyatt, “Three-dimensional optical tomography of the premature infant brain,” Phys. Med. Biol. 47, 4155–66 (2002).
[Crossref] [PubMed]

Delpy, D.T.

J. C. Hebden, H. Veenstra, H. Dehghani, E.M. Hillman, M. Schweiger, S.R. Arridge, and D.T. Delpy, “Three-dimensional time-resolved optical tomography of a conical breast phantom,” Appl. Opt. 40, 3278–3287 (2001).
[Crossref]

M. Schweiger, S.R. Arridge, M. Hiraoka, and D.T. Delpy, “The finite element method for the propagation of light in scattering media: boundary and source conditions,” Med. Phys. 22, 1779–1792 (1995).
[Crossref] [PubMed]

Dierkes, T.

T. Dierkes, D. Grosenick, K.T. Moesta, M. Moller, P.M. Schlag, H. Rinneberg, and S.R. Arridge, “Reconstruction of optical properties of phantom and breast lesion in vivo from paraxial scanning data,” Phys. Med. Biol. 50, 2519–2542 (2005).
[Crossref] [PubMed]

Djeziri, S.

X. Intes, S. Djeziri, Z. Ichalalene, N. Mincu, Y. Wang, P. St-Jean, F. Lesage, D. Hall, D. Boas, M. Polyzos, P. Fleiszer, and B. Mesurolle, “Time-Domain Optical Mammography SoftScan: Initial Results,” Acad. Radiology 12, 934–947 (2005).
[Crossref]

Dougherty, D.E.

M. J. Eppstein, D.E. Dougherty, D.J. Hawrysz, and E.M. Sevick, “Three-dimensional bayesian optical image reconstruction with domain decomposition,” IEEE Trans Med Imaging 20, 147–162 (2001).
[Crossref] [PubMed]

Doyley, M.

M. Doyley, E.E. Van Houten, J.B. Weaver, S.P. Poplack, L. Duncan, F.E. Kennedy, and K.D. Paulsen, “Sheer modulus estimation using parallelized partial volumetric reconstruction,” IEEE Trans Med Imaging 23, 1404–1416 (2004).
[Crossref] [PubMed]

Duncan, L.

M. Doyley, E.E. Van Houten, J.B. Weaver, S.P. Poplack, L. Duncan, F.E. Kennedy, and K.D. Paulsen, “Sheer modulus estimation using parallelized partial volumetric reconstruction,” IEEE Trans Med Imaging 23, 1404–1416 (2004).
[Crossref] [PubMed]

Durduran, T.

A. Corlu, R. Choe, T. Durduran, K. Lee, M. Schweiger, S.R. Arridge, E.M. Hillman, and A.G. Yodh, “Diffuse optical tomography with spectral constraints and wavelength optimization,” Appl. Opt. 44, 2082–2093 (2005).
[Crossref] [PubMed]

A. Corlu, T. Durduran, R. Choe, M. Schweiger, E.M. Hillman, S.R. Arridge, and A.G. Yodh, “Uniqueness and wavelength optimization in continuous-wave multispectral diffuse optical tomography,” Opt. Lett. 28, 2339–41 (2003).
[Crossref] [PubMed]

J. P. Culver, R. Choe, M.J. Holboke, L. Zubkov, T. Durduran, A. Slemp, V. Ntziachristos, B. Chance, and A.G. Yodh, “Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: Evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging,” Med. Phys. 30, 235–247 (2003).
[Crossref] [PubMed]

Edwards, A. D.

P. Van der Zee, M. Cope, S. R. Arridge, M. Essenpreis, L. A. Potter, A. D. Edwards, J. S. Wyatt, D. C. McCormick, S. C. Roth, and E. O. Reynolds, et al, “Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter-optode spacing,” Adv. Expt. Med. Biol. 316, 143–53 (1992).
[Crossref]

Eick, A.A.

J. R. Mourant, A.H. Hielscher, A.A. Eick, T.M. Johnson, and J.P. Freyer, “Evidence of intrinsic differences in the light scattering properties of tumorigenic and nontumorigenic cells,” Cancer Cytopathology 84, 366–74 (1998).

Eppstein, M. J.

M. J. Eppstein, D.E. Dougherty, D.J. Hawrysz, and E.M. Sevick, “Three-dimensional bayesian optical image reconstruction with domain decomposition,” IEEE Trans Med Imaging 20, 147–162 (2001).
[Crossref] [PubMed]

Espinoza, J.

B. J. Tromberg, N. Shah, R. Lanning, A. Cerussi, J. Espinoza, T. Pham, L. Svaasand, and J. Butler, “Non-invasive in vivo characterization of breast tumors using photon migration spectroscopy,” Neoplasia (New York),  2, 26–40 (2000).
[Crossref]

Essenpreis, M.

P. Van der Zee, M. Cope, S. R. Arridge, M. Essenpreis, L. A. Potter, A. D. Edwards, J. S. Wyatt, D. C. McCormick, S. C. Roth, and E. O. Reynolds, et al, “Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter-optode spacing,” Adv. Expt. Med. Biol. 316, 143–53 (1992).
[Crossref]

Everdell, N.

J. C. Hebden, A. Gibson, R. M. Yusof, N. Everdell, E. M. Hillman, D. T. Delpy, S. R. Arridge, T. Austin, J. H. Meek, and J. S. Wyatt, “Three-dimensional optical tomography of the premature infant brain,” Phys. Med. Biol. 47, 4155–66 (2002).
[Crossref] [PubMed]

Fabiani, M.

E. Gratton, S. Fantini, M. A. Franceschini, G. Gratton, and M. Fabiani, “Measurements of scattering and absorption changes in muscle and brain,” Phil. Trans. R. Soc. Lond. B 352, 727–735 (1997).
[Crossref]

Fantini, S.

E. Gratton, S. Fantini, M. A. Franceschini, G. Gratton, and M. Fabiani, “Measurements of scattering and absorption changes in muscle and brain,” Phil. Trans. R. Soc. Lond. B 352, 727–735 (1997).
[Crossref]

Farrell, T. J.

T. J. Farrell, M. S. Patterson, and B. C. Wilson, “A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties,” Med. Phys. 19, 879–888 (1992).
[Crossref] [PubMed]

Fleiszer, P.

X. Intes, S. Djeziri, Z. Ichalalene, N. Mincu, Y. Wang, P. St-Jean, F. Lesage, D. Hall, D. Boas, M. Polyzos, P. Fleiszer, and B. Mesurolle, “Time-Domain Optical Mammography SoftScan: Initial Results,” Acad. Radiology 12, 934–947 (2005).
[Crossref]

Franceschini, M. A.

E. Gratton, S. Fantini, M. A. Franceschini, G. Gratton, and M. Fabiani, “Measurements of scattering and absorption changes in muscle and brain,” Phil. Trans. R. Soc. Lond. B 352, 727–735 (1997).
[Crossref]

Freyer, J.P.

J. R. Mourant, A.H. Hielscher, A.A. Eick, T.M. Johnson, and J.P. Freyer, “Evidence of intrinsic differences in the light scattering properties of tumorigenic and nontumorigenic cells,” Cancer Cytopathology 84, 366–74 (1998).

Fuselier, T.

Gibson, A.

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B. Brooksby, B.W. Pogue, S. Jiang, H. Dehghani, S. Srinivasan, C. Kogel, J. Weaver, S.P. Poplack, and K.D. Paulsen, “Imaging Breast Adipose and Fibroglandular Tissue Molecular Signatures using Hybrid MRI-Guided Near-Infrared Spectral Tomography,” Proceedings of the National Academy of Sciences (in press), (2006).
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Pogue, B.W.

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B. Brooksby, B.W. Pogue, S. Jiang, H. Dehghani, S. Srinivasan, C. Kogel, J. Weaver, S.P. Poplack, and K.D. Paulsen, “Imaging Breast Adipose and Fibroglandular Tissue Molecular Signatures using Hybrid MRI-Guided Near-Infrared Spectral Tomography,” Proceedings of the National Academy of Sciences (in press), (2006).
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S. Srinivasan, B.W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W.A. Wells, S.P. Poplack, and K. D. Paulsen, “Near-infrared characterization of breast tumors in-vivo using spectrally-constrained reconstruction,” Technology in Cancer Research and Treatment 4, 513–526 (2005).
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S. Srinivasan, B.W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W.A. Wells, S.P. Poplack, and K. D. Paulsen, “Near-infrared characterization of breast tumors in-vivo using spectrally-constrained reconstruction,” Technology in Cancer Research and Treatment 4, 513–526 (2005).
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S. P. Poplack, A.N. Tosteson, M.R. Grove, W.A. Wells, and P.A. Carney, “Mammography in 53,803 women from the New Hampshire mammography network,” Radiology,  217: p. 832–840 (2000).
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S. Srinivasan, B.W. Pogue, S. Jiang, H. Dehghani, C. Kogel, S. Soho, J.J. Gibson, T.D. Tosteson, S.P. Poplack, and K.D. Paulsen, “Interpreting hemoglobin and water concentration, oxygen saturation and scattering measured in vivo by near-infrared breast tomography,” PNAS,  100(21): p. 12349–12354 (2003).
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X. Intes, S. Djeziri, Z. Ichalalene, N. Mincu, Y. Wang, P. St-Jean, F. Lesage, D. Hall, D. Boas, M. Polyzos, P. Fleiszer, and B. Mesurolle, “Time-Domain Optical Mammography SoftScan: Initial Results,” Acad. Radiology 12, 934–947 (2005).
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B. Brooksby, B.W. Pogue, S. Jiang, H. Dehghani, S. Srinivasan, C. Kogel, J. Weaver, S.P. Poplack, and K.D. Paulsen, “Imaging Breast Adipose and Fibroglandular Tissue Molecular Signatures using Hybrid MRI-Guided Near-Infrared Spectral Tomography,” Proceedings of the National Academy of Sciences (in press), (2006).
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M. Doyley, E.E. Van Houten, J.B. Weaver, S.P. Poplack, L. Duncan, F.E. Kennedy, and K.D. Paulsen, “Sheer modulus estimation using parallelized partial volumetric reconstruction,” IEEE Trans Med Imaging 23, 1404–1416 (2004).
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S. Srinivasan, B.W. Pogue, B. Brooksby, S. Jiang, H. Dehghani, C. Kogel, W.A. Wells, S.P. Poplack, and K. D. Paulsen, “Near-infrared characterization of breast tumors in-vivo using spectrally-constrained reconstruction,” Technology in Cancer Research and Treatment 4, 513–526 (2005).
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Yodh, A.G.

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Figures (7)

Fig. 1.
Fig. 1.

(a) source-detector configuration; for source S at (0.0.0) mm, detectors are given as D0: (-25, 5, 60), D1: (25, 5, 60), D2: (0, 0, 60), D3: (-25, -15, 60) and D4: (25,-15, 60)mm. (b) shows all source-detector positions within a domain mesh, when configuration in (a) is raster-scanned across a domain of 96×96×60mm and (c) shows the separation of the measurement points into lines of data for use with data-subset approach.

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Fig. 2.
Fig. 2.

(a) Comparison of log of calibrated amplitude data from analytical model versus forward data from finite element model. The analytical model data was generated on a test phantom with a single anomaly containing 4:1 contrast in HbO2 and the FEM data was generated on a homogeneous medium with identical background properties as the former. (b) Same as (a) for phase data, (c) the difference in the log amplitude data between the two models shown in (a), also the residual to be minimized in the image reconstruction (d) the residual for phase.

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Fig. 3.
Fig. 3.

(a) The projection error for the lines of data available from test-phantom containing a single inclusion centered at (30, 30, 30 mm). 32 lines of data are available at a resolution of 3mm along the X-axis of the imaging domain. The maximum is at slice 10, corresponding to the location of the anomaly at 30mm. This criterion was used to select 3 lines representing the optimal data subsets, and used for image reconstruction. (b) True HbO2 image (in milli-Molar, mM) and (c) reconstructed HbO2 image (in mM) for the test phantom; all other images stayed homogeneous and are not shown here. The image shows recovery of the anomaly in expected position.

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Fig. 4.
Fig. 4.

(a) Cross-section showing the location of a 15mm spherical inclusion in a test phantom(size: 60mm cube), with region label 1 compared to 0 in the background. The cross-section is along the center of inclusion. Frequency domain measurements were generated and 3-D spectral images were recovered. (b) reconstructed HbO2 image (in mM) using 6 lines of optimal data subsets (left) and using entire available dataset (regular method) on the right (c) same as (b) for Hb. The images are comparable using both methods, though the data-subset method shows reduced artifacts in the background.

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Fig. 5.
Fig. 5.

Quantitative comparison of the data subset method with use of entire available dataset (regular method) for three test cases having dimensions 60×60×60 mm with single inclusion whose size varies as in (a) 10mm (test 1) (b) 15mm (test 2) and (c) 20mm (test 3). The maximum in the region of interest (ROI) is plotted for each of the five NIR parameters. The difference between the two methods was less than 4% overall for all three cases.

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Fig. 6.
Fig. 6.

(a) two cross-sections of a test phantom showing three inclusions labeled with different region numbers (I cross-section is along center of region 1 and II cross-section is along plane containing centers of regions 2 and 3). Region 1 has contrast in all five NIR parameters. Region 2 has contrast only in Hb and water and Region 3 has contrast only in the scatter parameters (see Table 1 for actual concentrations). (b) Cross-sections from reconstructed HbO2 image (in mM): the single central anomaly is visible (c) cross-sections from the Hb image (in mM) showing contrasts in the two regions expected and (d) cross-sections from reconstructed scatter amplitude Both scatter amplitude and power (not shown here) show contrast in regions 1 and 3 (expected) as well as in region 2, due to cross-talk from Hb.

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Fig. 7.
Fig. 7.

(a) The difference between the maximum in region of interest (ROI) and the average in the background is plotted for each region and each parameter, from reconstructed images shown in Fig. 6 using 12 lines of data. HbO2 shows an increase in region 1 higher than regions 2 and 3; Hb shows comparable increases in regions 1 and 2 (as expected). Scatter amplitude and power show contrasts in all three regions, with maximum in region 3. (b) Difference between maximum in region 1 and average in background is plotted for all five NIR parameters from images reconstructed using 6, 9 and 12 lines of data separately. Quantification of HbO2 and water improves with increasing data subsets.

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Tables (1)

Tables Icon

Table 1. True concentrations for HbO2, Hb, water, scatter amplitude and power in the background and contrasts with respect to background in each region, for the test phantom shown in Fig. 6.

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Equations (7)

Equations on this page are rendered with MathJax. Learn more.

− ∇ . κ ( r ) ∇ Φ ( r , ω ) + ( μ a ( r ) + i ω c ) Φ ( r , ω ) = q 0 ( r , ω )
Φ ( γ ) + κ ( r ) α n ̂ . ∇ Φ ( γ ) = 0
χ 2 = ∑ j = 1 M ( ϕ j m − ϕ j c ) 2
μ a ( λ ) = ∑ a = 1 Nc ε a ( λ ) c a ,
μ s ' (λ)=A λ −b
χ ˜ 2 = ∑ j = 1 MN ( ϕ j m − ϕ j c ) 2
( ℑ ˜ T ℑ ˜ + α I ) ∂ c = ℑ ˜ ∂ ϕ

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