ePrints@IIScePrints@IISc Home | About | Browse | Latest Additions | Advanced Search | Contact | Help

Pseudo-time particle filtering for diffuse optical tomography

Raveendran, Tara and Gupta, Saurabh and Vasu, Ram Mohan and Roy, Debasish (2011) Pseudo-time particle filtering for diffuse optical tomography. In: Journal of the Optical Society of America A: Optics, Image Science, and Vision, 28 (10). pp. 2070-2081.

[img] PDF
Pseudo-time.pdf - Published Version
Restricted to Registered users only

Download (1MB) | Request a copy
Official URL: http://www.opticsinfobase.org/abstract.cfm?URI=jos...


We recast the reconstruction problem of diffuse optical tomography (DOT) in a pseudo-dynamical framework and develop a method to recover the optical parameters using particle filters, i.e., stochastic filters based on Monte Carlo simulations. In particular, we have implemented two such filters, viz., the bootstrap (BS) filter and the Gaussian-sum (GS) filter and employed them to recover optical absorption coefficient distribution from both numerically simulated and experimentally generated photon fluence data. Using either indicator functions or compactly supported continuous kernels to represent the unknown property distribution within the inhomogeneous inclusions, we have drastically reduced the number of parameters to be recovered and thus brought the overall computation time to within reasonable limits. Even though the GS filter outperformed the BS filter in terms of accuracy of reconstruction, both gave fairly accurate recovery of the height, radius, and location of the inclusions. Since the present filtering algorithms do not use derivatives, we could demonstrate accurate contrast recovery even in the middle of the object where the usual deterministic algorithms perform poorly owing to the poor sensitivity of measurement of the parameters. Consistent with the fact that the DOT recovery, being ill posed, admits multiple solutions, both the filters gave solutions that were verified to be admissible by the closeness of the data computed through them to the data used in the filtering step (either numerically simulated or experimentally generated). (C) 2011 Optical Society of America

Item Type: Journal Article
Publication: Journal of the Optical Society of America A: Optics, Image Science, and Vision
Publisher: Optical Soc Amer
Additional Information: Copyright of this article belongs to Optical Soc Amer.
Department/Centre: Division of Mechanical Sciences > Civil Engineering
Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited: 04 Nov 2011 09:58
Last Modified: 04 Nov 2011 09:58
URI: http://eprints.iisc.ac.in/id/eprint/41831

Actions (login required)

View Item View Item