A. Douiri, M. Schweiger, J. Riley, and S. R. Arridge, “Anisotropic diffusion regularization methods for diffuse optical tomography using edge prior information,” Meas. Sci. Technol. 18, 87–95 (2007).

[CrossRef]

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

M. Jacob, Y. Bresler, V. Toronov, X. Zhang, and A. Webb, “Level-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imaging,” J. Biomed. Opt. 11, 064,029-1–12 (2006).

[CrossRef]

D. Malioutov, M. Cetin, and A. S. Willsky, “A sparse signal reconstruction perspective for source localization with sensor arrays,” IEEE Trans. Signal Process. 53, 3010–3022 (2005)..

[CrossRef]

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

J.-J. Fuchs, “On sparse representations in arbitrary redundant bases,” IEEE Trans. Inf. Theory 50, 1341–1344 (2004).

[CrossRef]

M. A. T. Figueiredo and R. D. Nowak, “An EM algorithm for wavelet-based image restoration,” IEEE Transactions on Image Processing 12, 906–916 (2003).

[CrossRef]

M. A. T. Figueiredo, “Adaptive sparseness for supervised learning,” IEEE Trans. Pattern Anal. Mach. Intell. 25, 1150–1159 (2003).

[CrossRef]

H. Dehghani, B. W. Pogue, S. Jiang, B. A. Brooksby, and K. D. Paulsen, “Three-dimensional optical tomography: Resolution in small-object imaging,” Appl. Opt. 42, 3117–3128 (2003).

[CrossRef]
[PubMed]

D. Grosenick, T. Moesta, H. Wabnitz, J. Mucke, C. Stroszcynski, R. Macdonald, P. Schlag, and H. Rinnerberg, “Time-domain optical mammography: Initial clinial results on detection and characterization of breast tumors,” Appl. Opt. 42, 3170–3186 (2003).

[CrossRef]
[PubMed]

X. Intes, J. Ripoll, Y. Chen, S. Nioka, A. Yodh, and B. Chance, “In vivo continuous-wave optical breast imaging enhanced with Indocyanine Green,” Med. Phys. 30, 1039–1047 (2003).

[CrossRef]
[PubMed]

M. E. Kilmer, E. L. Miller, A. Barbaro, and D. Boas, “Three-dimensional shaped-based imaging of absorption perturbation for diffuse optical tomography,” Appl. Opt. 42, 3129–3144 (2003).

[CrossRef]
[PubMed]

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

[CrossRef]
[PubMed]

M. Cetin and W. C. Karl, “Feature-enhanced synthetic aperture radar image formation bsed on nonquadratic regularization,” IEEE Trans. Image Process. 10, 623–631 (2001).

[CrossRef]

M. E. Kilmer, E. L. Miller, D. Boas, and D. Brook, “A shape-based reconstruction technique for DPDW data,” Opt. Express 72, 481–491 (2000).

[CrossRef]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

M. J. Holboke, B. J. Tromberg, X. Li, N. Shah, J. Fishkin, D. Kidney, J. Butler, B. Chance, and A. Yodh, “Three-dimensional diffuse optical mammography with ultrasound localization in a human subject,” J. Biomed. Opt. 5 (2000).

[CrossRef]
[PubMed]

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

[CrossRef]

P. Moulin and J. Liu, “Analysis of multiresolution image denoising schemes uisng generalized-Gaussion and complexity priors,” IEEE Trans. Inf. Theory 45, 909–919 (1999).

[CrossRef]

B. Pogue, T. McBride, J. Prewitt, U. Osterberg, and K. Paulsen, “Spatially variant regularization improves diffuse optical tomography,” Appl. Opt. 38, 2950–2961 (1999).

[CrossRef]

P. S. Bradley, O. L. Mangasarian, and W. N. Street, “Feature selection via mathematical programming,” INFORMS J. Comput. 10, 209–217 (1998).

[CrossRef]

K. Matsuura and Y. Okabe, “A robust reconstruction of sparse biomagnetic sources,” IEEE Trans. Biomed. Eng. 44, 720–726 (1997).

[CrossRef]
[PubMed]

A. Villringer and B. Chance, “Non-invasive optical spectroscopy and imaging of human brain function,” Trends Neurosci. 20, 435–442 (1997).

[CrossRef]
[PubMed]

P. Charbonnier, L. Blanc-Feraud, G. Aubert, and M. Barlaud, “Deterministic edge-perserving regularization in computed imaging,” IEEE Trans. Image Process. 6, 298–310 (1997).

[CrossRef]
[PubMed]

I. Gorodnitsky and B. D. Rao, “Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm,” IEEE Trans. Signal Process. 45, 600–616 (1997).

[CrossRef]

K. D. Paulsen and H. Jiang, “Spatially-varying optical property reconstruction using a finite element diffusion equation approximation,” Med. Phys. 22, 619–701 (1995).

[CrossRef]

B. W. Pogue, M. S. Patterson, H. Jiang, and K. D. Paulsen, “Initial assessment of a simple system for frequency domain diffuse optical tomography,” Phys. Med. Biol. 40, 1709–1729 (1995).

[CrossRef]
[PubMed]

D. L. Donoho, “De-noising by soft-threshold,” IEEE Trans. Inf. Theory 41, 613–627 (1995).

[CrossRef]

R. Aronson, “Boundary conditions for diffusion of light,” J. Opt. Soc. Am. A 12, 2532–2539 (1995).

[CrossRef]

K. Matsuura and Y. Okabe, “Selective minimum-norm solution of the biomagnetic inverse problem,” IEEE Trans. Biomed. Eng. 42, 608–615 (1995).

[CrossRef]
[PubMed]

R. C. Haskell, L. O. Svaasand, T.-T. Tsay, T.-C. Feng, and M. S. McAdams, “Boundary conditions for the diffusion equation in radiative transfer,” J. Opt. Soc. Am. 10, 2727–2741 (1994).

[CrossRef]

D. Donoho and I. Johnstone, “Ideal spatial adaptation via wavelet shrinkage,” Biometrika 81, 425–455 (1994).

[CrossRef]

M. S. Patterson, B. Chance, and B. C. Wilson, “Time resolved reflectance and transmittance for the noninvasive measurement of tissue optical properties,” J. Appl. Opt. 28, 2331–2336 (1989).

[CrossRef]

C. Wu, “One the convergence properties of the EM algorithm,” Ann. Stst. 11, 95–103 (1983).

[CrossRef]

A. Douiri, M. Schweiger, J. Riley, and S. R. Arridge, “Anisotropic diffusion regularization methods for diffuse optical tomography using edge prior information,” Meas. Sci. Technol. 18, 87–95 (2007).

[CrossRef]

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

[CrossRef]

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P. Charbonnier, L. Blanc-Feraud, G. Aubert, and M. Barlaud, “Deterministic edge-perserving regularization in computed imaging,” IEEE Trans. Image Process. 6, 298–310 (1997).

[CrossRef]
[PubMed]

P. Charbonnier, L. Blanc-Feraud, G. Aubert, and M. Barlaud, “Deterministic edge-perserving regularization in computed imaging,” IEEE Trans. Image Process. 6, 298–310 (1997).

[CrossRef]
[PubMed]

P. Charbonnier, L. Blanc-Feraud, G. Aubert, and M. Barlaud, “Deterministic edge-perserving regularization in computed imaging,” IEEE Trans. Image Process. 6, 298–310 (1997).

[CrossRef]
[PubMed]

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

M. E. Kilmer, E. L. Miller, A. Barbaro, and D. Boas, “Three-dimensional shaped-based imaging of absorption perturbation for diffuse optical tomography,” Appl. Opt. 42, 3129–3144 (2003).

[CrossRef]
[PubMed]

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

[CrossRef]
[PubMed]

M. E. Kilmer, E. L. Miller, D. Boas, and D. Brook, “A shape-based reconstruction technique for DPDW data,” Opt. Express 72, 481–491 (2000).

[CrossRef]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

G. Boverman and E. Miller, “Estimation-theoretic algorithms and bounds for three-dimensional polar shape-based imaging in diffuse optical tomography,” in Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1132–1135 (2006).

S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, “An efficient method for l1-regularized least squares,” IEEE Trans. Selected Topics in Signal Process. (2007).

P. S. Bradley, O. L. Mangasarian, and W. N. Street, “Feature selection via mathematical programming,” INFORMS J. Comput. 10, 209–217 (1998).

[CrossRef]

M. Jacob, Y. Bresler, V. Toronov, X. Zhang, and A. Webb, “Level-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imaging,” J. Biomed. Opt. 11, 064,029-1–12 (2006).

[CrossRef]

M. E. Kilmer, E. L. Miller, D. Boas, and D. Brook, “A shape-based reconstruction technique for DPDW data,” Opt. Express 72, 481–491 (2000).

[CrossRef]

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

M. J. Holboke, B. J. Tromberg, X. Li, N. Shah, J. Fishkin, D. Kidney, J. Butler, B. Chance, and A. Yodh, “Three-dimensional diffuse optical mammography with ultrasound localization in a human subject,” J. Biomed. Opt. 5 (2000).

[CrossRef]
[PubMed]

D. Malioutov, M. Cetin, and A. S. Willsky, “A sparse signal reconstruction perspective for source localization with sensor arrays,” IEEE Trans. Signal Process. 53, 3010–3022 (2005)..

[CrossRef]

M. Cetin and W. C. Karl, “Feature-enhanced synthetic aperture radar image formation bsed on nonquadratic regularization,” IEEE Trans. Image Process. 10, 623–631 (2001).

[CrossRef]

X. Intes, J. Ripoll, Y. Chen, S. Nioka, A. Yodh, and B. Chance, “In vivo continuous-wave optical breast imaging enhanced with Indocyanine Green,” Med. Phys. 30, 1039–1047 (2003).

[CrossRef]
[PubMed]

M. J. Holboke, B. J. Tromberg, X. Li, N. Shah, J. Fishkin, D. Kidney, J. Butler, B. Chance, and A. Yodh, “Three-dimensional diffuse optical mammography with ultrasound localization in a human subject,” J. Biomed. Opt. 5 (2000).

[CrossRef]
[PubMed]

A. Villringer and B. Chance, “Non-invasive optical spectroscopy and imaging of human brain function,” Trends Neurosci. 20, 435–442 (1997).

[CrossRef]
[PubMed]

M. S. Patterson, B. Chance, and B. C. Wilson, “Time resolved reflectance and transmittance for the noninvasive measurement of tissue optical properties,” J. Appl. Opt. 28, 2331–2336 (1989).

[CrossRef]

P. Charbonnier, L. Blanc-Feraud, G. Aubert, and M. Barlaud, “Deterministic edge-perserving regularization in computed imaging,” IEEE Trans. Image Process. 6, 298–310 (1997).

[CrossRef]
[PubMed]

X. Intes, J. Ripoll, Y. Chen, S. Nioka, A. Yodh, and B. Chance, “In vivo continuous-wave optical breast imaging enhanced with Indocyanine Green,” Med. Phys. 30, 1039–1047 (2003).

[CrossRef]
[PubMed]

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

D. Donoho and I. Johnstone, “Ideal spatial adaptation via wavelet shrinkage,” Biometrika 81, 425–455 (1994).

[CrossRef]

D. L. Donoho, “De-noising by soft-threshold,” IEEE Trans. Inf. Theory 41, 613–627 (1995).

[CrossRef]

O. Dorn, “A shape reconstruction method for diffuse optical tomography using a transport model and level sets,” in Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1015–1018 (2006).

A. Douiri, M. Schweiger, J. Riley, and S. R. Arridge, “Anisotropic diffusion regularization methods for diffuse optical tomography using edge prior information,” Meas. Sci. Technol. 18, 87–95 (2007).

[CrossRef]

R. C. Haskell, L. O. Svaasand, T.-T. Tsay, T.-C. Feng, and M. S. McAdams, “Boundary conditions for the diffusion equation in radiative transfer,” J. Opt. Soc. Am. 10, 2727–2741 (1994).

[CrossRef]

M. A. T. Figueiredo and R. D. Nowak, “An EM algorithm for wavelet-based image restoration,” IEEE Transactions on Image Processing 12, 906–916 (2003).

[CrossRef]

M. A. T. Figueiredo, “Adaptive sparseness for supervised learning,” IEEE Trans. Pattern Anal. Mach. Intell. 25, 1150–1159 (2003).

[CrossRef]

M. J. Holboke, B. J. Tromberg, X. Li, N. Shah, J. Fishkin, D. Kidney, J. Butler, B. Chance, and A. Yodh, “Three-dimensional diffuse optical mammography with ultrasound localization in a human subject,” J. Biomed. Opt. 5 (2000).

[CrossRef]
[PubMed]

J.-J. Fuchs, “On sparse representations in arbitrary redundant bases,” IEEE Trans. Inf. Theory 50, 1341–1344 (2004).

[CrossRef]

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, “An efficient method for l1-regularized least squares,” IEEE Trans. Selected Topics in Signal Process. (2007).

I. Gorodnitsky and B. D. Rao, “Sparse signal reconstruction from limited data using FOCUSS: A re-weighted minimum norm algorithm,” IEEE Trans. Signal Process. 45, 600–616 (1997).

[CrossRef]

D. Grosenick, T. Moesta, H. Wabnitz, J. Mucke, C. Stroszcynski, R. Macdonald, P. Schlag, and H. Rinnerberg, “Time-domain optical mammography: Initial clinial results on detection and characterization of breast tumors,” Appl. Opt. 42, 3170–3186 (2003).

[CrossRef]
[PubMed]

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

R. C. Haskell, L. O. Svaasand, T.-T. Tsay, T.-C. Feng, and M. S. McAdams, “Boundary conditions for the diffusion equation in radiative transfer,” J. Opt. Soc. Am. 10, 2727–2741 (1994).

[CrossRef]

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

M. J. Holboke, B. J. Tromberg, X. Li, N. Shah, J. Fishkin, D. Kidney, J. Butler, B. Chance, and A. Yodh, “Three-dimensional diffuse optical mammography with ultrasound localization in a human subject,” J. Biomed. Opt. 5 (2000).

[CrossRef]
[PubMed]

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

X. Intes, J. Ripoll, Y. Chen, S. Nioka, A. Yodh, and B. Chance, “In vivo continuous-wave optical breast imaging enhanced with Indocyanine Green,” Med. Phys. 30, 1039–1047 (2003).

[CrossRef]
[PubMed]

M. Jacob, Y. Bresler, V. Toronov, X. Zhang, and A. Webb, “Level-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imaging,” J. Biomed. Opt. 11, 064,029-1–12 (2006).

[CrossRef]

K. D. Paulsen and H. Jiang, “Enhanced frequency-domain optical image reconstruction in tissues through total-variation minimization,” Appl. Opt. 35, 3447–3458 (1996).

[CrossRef]
[PubMed]

K. D. Paulsen and H. Jiang, “Spatially-varying optical property reconstruction using a finite element diffusion equation approximation,” Med. Phys. 22, 619–701 (1995).

[CrossRef]

B. W. Pogue, M. S. Patterson, H. Jiang, and K. D. Paulsen, “Initial assessment of a simple system for frequency domain diffuse optical tomography,” Phys. Med. Biol. 40, 1709–1729 (1995).

[CrossRef]
[PubMed]

D. Donoho and I. Johnstone, “Ideal spatial adaptation via wavelet shrinkage,” Biometrika 81, 425–455 (1994).

[CrossRef]

M. Cetin and W. C. Karl, “Feature-enhanced synthetic aperture radar image formation bsed on nonquadratic regularization,” IEEE Trans. Image Process. 10, 623–631 (2001).

[CrossRef]

M. J. Holboke, B. J. Tromberg, X. Li, N. Shah, J. Fishkin, D. Kidney, J. Butler, B. Chance, and A. Yodh, “Three-dimensional diffuse optical mammography with ultrasound localization in a human subject,” J. Biomed. Opt. 5 (2000).

[CrossRef]
[PubMed]

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

M. E. Kilmer, E. L. Miller, A. Barbaro, and D. Boas, “Three-dimensional shaped-based imaging of absorption perturbation for diffuse optical tomography,” Appl. Opt. 42, 3129–3144 (2003).

[CrossRef]
[PubMed]

M. E. Kilmer, E. L. Miller, D. Boas, and D. Brook, “A shape-based reconstruction technique for DPDW data,” Opt. Express 72, 481–491 (2000).

[CrossRef]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, “An efficient method for l1-regularized least squares,” IEEE Trans. Selected Topics in Signal Process. (2007).

S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, “An efficient method for l1-regularized least squares,” IEEE Trans. Selected Topics in Signal Process. (2007).

G. McLachlan and T. Krishnan, The EM algorithm and extensions (Wiley, New York).

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

M. Huang, A. Dale, T. Song, E. Halgren, D. Harrington, I. Podgorny, J. Ganive, S. Lewis, and R. Lee, “Vector-based spatial-temporal minimum L1-norm solution for MEG,” NeuroImage 31, 1025–1037 (2006).

[CrossRef]
[PubMed]

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

M. J. Holboke, B. J. Tromberg, X. Li, N. Shah, J. Fishkin, D. Kidney, J. Butler, B. Chance, and A. Yodh, “Three-dimensional diffuse optical mammography with ultrasound localization in a human subject,” J. Biomed. Opt. 5 (2000).

[CrossRef]
[PubMed]

P. Moulin and J. Liu, “Analysis of multiresolution image denoising schemes uisng generalized-Gaussion and complexity priors,” IEEE Trans. Inf. Theory 45, 909–919 (1999).

[CrossRef]

S.-J. Kim, K. Koh, M. Lustig, S. Boyd, and D. Gorinevsky, “An efficient method for l1-regularized least squares,” IEEE Trans. Selected Topics in Signal Process. (2007).

D. Grosenick, T. Moesta, H. Wabnitz, J. Mucke, C. Stroszcynski, R. Macdonald, P. Schlag, and H. Rinnerberg, “Time-domain optical mammography: Initial clinial results on detection and characterization of breast tumors,” Appl. Opt. 42, 3170–3186 (2003).

[CrossRef]
[PubMed]

D. Malioutov, M. Cetin, and A. S. Willsky, “A sparse signal reconstruction perspective for source localization with sensor arrays,” IEEE Trans. Signal Process. 53, 3010–3022 (2005)..

[CrossRef]

P. S. Bradley, O. L. Mangasarian, and W. N. Street, “Feature selection via mathematical programming,” INFORMS J. Comput. 10, 209–217 (1998).

[CrossRef]

K. Matsuura and Y. Okabe, “A robust reconstruction of sparse biomagnetic sources,” IEEE Trans. Biomed. Eng. 44, 720–726 (1997).

[CrossRef]
[PubMed]

K. Matsuura and Y. Okabe, “Selective minimum-norm solution of the biomagnetic inverse problem,” IEEE Trans. Biomed. Eng. 42, 608–615 (1995).

[CrossRef]
[PubMed]

R. C. Haskell, L. O. Svaasand, T.-T. Tsay, T.-C. Feng, and M. S. McAdams, “Boundary conditions for the diffusion equation in radiative transfer,” J. Opt. Soc. Am. 10, 2727–2741 (1994).

[CrossRef]

G. McLachlan and T. Krishnan, The EM algorithm and extensions (Wiley, New York).

G. Boverman and E. Miller, “Estimation-theoretic algorithms and bounds for three-dimensional polar shape-based imaging in diffuse optical tomography,” in Proceedings of IEEE International Symposium on Biomedical Imaging, pp. 1132–1135 (2006).

A. Li, G. Boverman, Y. Zhang, D. Brooks, E. L. Miller, M. E. Kilmer, Q. Zhang, E. M. C. Hillman, and D. Boas, “Optimal linear inverse solution with multiple priors in diffuse optical tomography,” Appl. Opt. 44, 1948–1956 (2005).

[CrossRef]
[PubMed]

M. E. Kilmer, E. L. Miller, A. Barbaro, and D. Boas, “Three-dimensional shaped-based imaging of absorption perturbation for diffuse optical tomography,” Appl. Opt. 42, 3129–3144 (2003).

[CrossRef]
[PubMed]

M. E. Kilmer, E. L. Miller, D. Boas, and D. Brook, “A shape-based reconstruction technique for DPDW data,” Opt. Express 72, 481–491 (2000).

[CrossRef]

R. J. Gaudette, D. H. Brooks, C. A. DiMarzio, M. E. Kilmer, E. L. Miller, T. Gaudette, and D. A. Boas, “A comparison study of linear reconstruction techniques for diffuse optical tomographic imaging of absorption coefficient,” Phys. Med. Biol. 45, 1051–1070 (2000).

[CrossRef]
[PubMed]

D. Grosenick, T. Moesta, H. Wabnitz, J. Mucke, C. Stroszcynski, R. Macdonald, P. Schlag, and H. Rinnerberg, “Time-domain optical mammography: Initial clinial results on detection and characterization of breast tumors,” Appl. Opt. 42, 3170–3186 (2003).

[CrossRef]
[PubMed]

P. Moulin and J. Liu, “Analysis of multiresolution image denoising schemes uisng generalized-Gaussion and complexity priors,” IEEE Trans. Inf. Theory 45, 909–919 (1999).

[CrossRef]

D. Grosenick, T. Moesta, H. Wabnitz, J. Mucke, C. Stroszcynski, R. Macdonald, P. Schlag, and H. Rinnerberg, “Time-domain optical mammography: Initial clinial results on detection and characterization of breast tumors,” Appl. Opt. 42, 3170–3186 (2003).

[CrossRef]
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