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Items: 1 to 20 of 236

1.

Diffuse optical tomography with spectral constraints and wavelength optimization.

Corlu A, Choe R, Durduran T, Lee K, Schweiger M, Arridge SR, Hillman EM, Yodh AG.

Appl Opt. 2005 Apr 10;44(11):2082-93.

PMID:
15835357
2.

Improved quantification of small objects in near-infrared diffuse optical tomography.

Srinivasan S, Pogue BW, Dehghani H, Jiang S, Song X, Paulsen KD.

J Biomed Opt. 2004 Nov-Dec;9(6):1161-71.

PMID:
15568936
3.

Quantitative spectroscopic diffuse optical tomography of the breast guided by imperfect a priori structural information.

Boverman G, Miller EL, Li A, Zhang Q, Chaves T, Brooks DH, Boas DA.

Phys Med Biol. 2005 Sep 7;50(17):3941-56. Epub 2005 Aug 11.

PMID:
16177522
4.
5.

Image correction scheme applied to functional diffuse optical tomography scattering images.

Graber HL, Xu Y, Barbour RL.

Appl Opt. 2007 Apr 1;46(10):1705-16.

PMID:
17356613
6.

Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors.

Pera VE, Heffer EL, Siebold H, Schutz O, Heywang-Kobrunner S, Gotz L, Heinig A, Fantini S.

J Biomed Opt. 2003 Jul;8(3):517-24.

PMID:
12880359
7.

Imaging of small nanoparticle-containing objects by finite-element-based photoacoustic tomography.

Yuan Z, Wu C, Zhao H, Jiang H.

Opt Lett. 2005 Nov 15;30(22):3054-6.

PMID:
16315719
8.

Reconstructing absorption and diffusion shape profiles in optical tomography by a level set technique.

Schweiger M, Arridge SR, Dorn O, Zacharopoulos A, Kolehmainen V.

Opt Lett. 2006 Feb 15;31(4):471-3.

PMID:
16496890
10.

A modelling error approach for the estimation of optical absorption in the presence of anisotropies.

Heino J, Somersalo E.

Phys Med Biol. 2004 Oct 21;49(20):4785-98.

PMID:
15566175
11.

Experimental demonstration of an analytic method for image reconstruction in optical diffusion tomography with large data sets.

Wang ZM, Panasyuk GY, Markel VA, Schotland JC.

Opt Lett. 2005 Dec 15;30(24):3338-40.

PMID:
16389824
12.

Spectral derivative based image reconstruction provides inherent insensitivity to coupling and geometric errors.

Xu H, Pogue BW, Springett R, Dehghani H.

Opt Lett. 2005 Nov 1;30(21):2912-4.

PMID:
16279467
13.

Estimation of kinetic model parameters in fluorescence optical diffusion tomography.

Milstein AB, Webb KJ, Bouman CA.

J Opt Soc Am A Opt Image Sci Vis. 2005 Jul;22(7):1357-68.

PMID:
16053157
14.

Optimal sparse solution for fluorescent diffuse optical tomography: theory and phantom experimental results.

Mohajerani P, Eftekhar AA, Huang J, Adibi A.

Appl Opt. 2007 Apr 1;46(10):1679-85.

PMID:
17356610
15.

Model reduction using wavelet multiresolution technique applied to fluorescence diffuse optical tomography.

Landragin-Frassati A, Dinten JM, Georges D, Da Silva A.

Appl Opt. 2009 Dec 20;48(36):6878-92. doi: 10.1364/AO.48.006878.

PMID:
20029589
16.

Improving image quality of diffuse optical tomography with a projection-error-based adaptive regularization method.

Niu H, Guo P, Ji L, Zhao Q, Jiang T.

Opt Express. 2008 Aug 18;16(17):12423-34.

PMID:
18711479
17.

Local diffusion regularization method for optical tomography reconstruction by using robust statistics.

Douiri A, Schweiger M, Riley J, Arridge S.

Opt Lett. 2005 Sep 15;30(18):2439-41.

PMID:
16196345
18.

Mapping tissue optical attenuation to identify cancer using optical coherence tomography.

McLaughlin RA, Scolaro L, Robbins P, Saunders C, Jacques SL, Sampson DD.

Med Image Comput Comput Assist Interv. 2009;12(Pt 2):657-64.

PMID:
20426168
19.
20.

Near-infrared imaging of the human breast: complementing hemoglobin concentration maps with oxygenation images.

Heffer E, Pera V, Sch├╝tz O, Siebold H, Fantini S.

J Biomed Opt. 2004 Nov-Dec;9(6):1152-60.

PMID:
15568935
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