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Larusson F, Anderson PG, Rosenberg E, et al. Parametric estimation of 3D tubular structures for diffuse optical tomography. Biomed Opt Express. 2013;4(2):271-86doi: 10.1364/BOE.4.000271.
Larusson, F., Anderson, P. G., Rosenberg, E., Kilmer, M. E., Sassaroli, A., Fantini, S., & Miller, E. L. (2013). Parametric estimation of 3D tubular structures for diffuse optical tomography. Biomedical optics express, 4(2), 271-86. https://doi.org/10.1364/BOE.4.000271
Larusson, Fridrik, et al. "Parametric estimation of 3D tubular structures for diffuse optical tomography." Biomedical optics express vol. 4,2 (2013): 271-86. doi: https://doi.org/10.1364/BOE.4.000271
Larusson F, Anderson PG, Rosenberg E, Kilmer ME, Sassaroli A, Fantini S, Miller EL. Parametric estimation of 3D tubular structures for diffuse optical tomography. Biomed Opt Express. 2013 Feb 01;4(2):271-86. doi: 10.1364/BOE.4.000271. Epub 2013 Jan 17. PMID: 23411913; PMCID: PMC3567714.
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Biomed Opt Express. 2013 Feb 01;4(2):271-86. doi: 10.1364/BOE.4.000271. Epub 2013 Jan 17.

Parametric estimation of 3D tubular structures for diffuse optical tomography.

Biomedical optics express

Fridrik Larusson, Pamela G Anderson, Elizabeth Rosenberg, Misha E Kilmer, Angelo Sassaroli, Sergio Fantini, Eric L Miller

Affiliations

  1. Department of Electrical and Computer Engineering, Tufts University, Medford, MA 02155, USA ; Currently with Intellectual Ventures, Global Good, Bellevue, WA 98122, USA.

PMID: 23411913 PMCID: PMC3567714 DOI: 10.1364/BOE.4.000271

Abstract

We explore the use of diffuse optical tomography (DOT) for the recovery of 3D tubular shapes representing vascular structures in breast tissue. Using a parametric level set method (PaLS) our method incorporates the connectedness of vascular structures in breast tissue to reconstruct shape and absorption values from severely limited data sets. The approach is based on a decomposition of the unknown structure into a series of two dimensional slices. Using a simplified physical model that ignores 3D effects of the complete structure, we develop a novel inter-slice regularization strategy to obtain global regularity. We report on simulated and experimental reconstructions using realistic optical contrasts where our method provides a more accurate estimate compared to an unregularized approach and a pixel based reconstruction.

Keywords: (100.3190) Inverse problems; (170.3010) Image reconstruction techniques; (170.3660) Light propagation in tissues; (170.3830) Mammography; (170.3880) Medical and biological imaging; (170.5280) Photon migration; (170.6960) Tomography; (290.1990) Diffusion; (290.7050) Turbid media

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