The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation

Baba, Justin S; Koju, Vijay; John, Dwayne O

Title: The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation

Full Record
Other Related Research

Abstract

The modulation of the state of polarization of photons due to scatter generates associated geometric phase that is being investigated as a means for decreasing the degree of uncertainty in back-projecting the paths traversed by photons detected in backscattered geometry. In our previous work, we established that polarimetrically detected Berry phase correlates with the mean photon penetration depth of the backscattered photons collected for image formation. In this work, we report on the impact of state-of-linear-polarization (SOLP) filtering on both the magnitude and population distributions of image forming detected photons as a function of the absorption coefficient of the scattering sample. The results, based on Berry phase tracking implemented Polarized Monte Carlo Code, indicate that sample absorption plays a significant role in the mean depth attained by the image forming backscattered detected photons.

Authors:

Baba, Justin S ^[1]; Koju, Vijay ^[1]; John, Dwayne O ^[1]

ORNL

Publication Date:: Fri Jan 01 00:00:00 EST 2016

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Joint Institute for Computational Sciences (JICS)

Sponsoring Org.:: USDOE Laboratory Directed Research and Development (LDRD) Program

OSTI Identifier:: 1241479

DOE Contract Number:: AC05-00OR22725

Resource Type:: Conference

Resource Relation:: Conference: Photonics West the SPIE International Symposium on Biomedical Optics, San Francisco, CA, USA, 20160213, 20160218

Country of Publication:: United States

Language:: English

Subject:: Berry phase; geometric phase; polarization sensitive Monte Carlo; depth resolved imaging; scattering sample imaging; modeling anisotropic scatter; optical imaging; polarimetry; polarimetric imaging; backscattered Mueller matrix

Citation Formats


                    Baba, Justin S, Koju, Vijay, and John, Dwayne O. The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation.  United States: N. p., 2016. 
        Web.

Copy to clipboard


                    Baba, Justin S, Koju, Vijay, & John, Dwayne O. The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation.  United States.

Copy to clipboard


                    Baba, Justin S, Koju, Vijay, and John, Dwayne O. 2016.  
        "The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation".  United States.

Copy to clipboard


                    
@article{osti_1241479,

  title        = {The impact of absorption coefficient on polarimetric determination of Berry phase based depth resolved characterization of biomedical scattering samples: a polarized Monte Carlo investigation},

  author       = {Baba, Justin S and Koju, Vijay and John, Dwayne O},

  abstractNote = {The modulation of the state of polarization of photons due to scatter generates associated geometric phase that is being investigated as a means for decreasing the degree of uncertainty in back-projecting the paths traversed by photons detected in backscattered geometry. In our previous work, we established that polarimetrically detected Berry phase correlates with the mean photon penetration depth of the backscattered photons collected for image formation. In this work, we report on the impact of state-of-linear-polarization (SOLP) filtering on both the magnitude and population distributions of image forming detected photons as a function of the absorption coefficient of the scattering sample. The results, based on Berry phase tracking implemented Polarized Monte Carlo Code, indicate that sample absorption plays a significant role in the mean depth attained by the image forming backscattered detected photons.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1241479},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jan 01 00:00:00 EST 2016},

  month        = {Fri Jan 01 00:00:00 EST 2016}

}

Copy to clipboard

Conference:

Other availability

Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

Monte Carlo based investigation of Berry phase for depth resolved characterization of biomedical scattering samples

Conference Baba, Justin; John, Dwayne; Koju, Vijay

The propagation of light in turbid media is an active area of research with relevance to numerous investigational fields, e.g., biomedical diagnostics and therapeutics. The statistical random-walk nature of photon propagation through turbid media is ideal for computational based modeling and simulation. Ready access to super computing resources provide a means for attaining brute force solutions to stochastic light-matter interactions entailing scattering by facilitating timely propagation of sufficient (>10million) photons while tracking characteristic parameters based on the incorporated physics of the problem. One such model that works well for isotropic but fails for anisotropic scatter, which is the case formore »« less
Full Text Available
New imaging technique gets under the skin...deep

Technical Report Radousky, H; Demos, S - Article from Science& Technology Review November 2000

Using a combination of simple optical techniques, plain old white light, and image processing, two Lawrence Livermore researchers and a colleague from the City College of New York (CCNY) have developed a technique for imaging tissue structures--tendons, veins, tumors--deep beneath the skin. The ultimate goal of this research is to dramatically improve the ability to perform minimally invasive cancer detection. ''With a technique called spectral polarization difference imaging [SPDI], we use different wavelengths of light to reach different depths. We also use the polarization properties of the light to help us select the light that penetrates into the tissue andmore »« less
https://doi.org/10.2172/15007281

Full Text Available
Oil spill detection by imaging radars: Challenges and pitfalls

Journal Article Alpers, Werner; Holt, Benjamin; Zeng, Kan - Remote Sensing of Environment

In this paper, criteria for discriminating between radar signatures of oil films and biogenic slicks visible on synthetic aperture radar (SAR) images of the sea surface as dark patches are critically reviewed. We question the often claimed high success rate of oil spill detection algorithms using single-polarization SARs because the SAR images used to train these algorithms are based usually on subjective interpretation and are not validated by on-site inspections or multi-sensor measurements carried out from oil pollution surveillance planes. Furthermore, we doubt that polarimetric parameters derived from fully-polarimetric SAR data, like entropy, anisotropy, and mean scattering angle, are beneficialmore »« less
Cited by 145
https://doi.org/10.1016/j.rse.2017.09.002

Full Text Available
A unified algorithm for phase and cross-talk calibration of polarimetric data -- Theory and observations

Journal Article Quegan, S - IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers); (United States)

A unified approach to phase and cross-talk calibration of polarimetric data which can be applied to calibrating scattering matrix data or to extraction of the descriptors of distributed targets is described. It relies on the scene being dominated by targets with uncorrelated like and cross-polarization backscattering coefficients, but provides cross-talk calibration of targets for which this is not true. The algorithm needs unsymmetrized data, but uses only quantities derived from the covariance matrix of large areas. Calibration of the scattering matrix data is based on a minimum least squares principle. This suggests that current methods of symmetrization are not optimal.more »« less
https://doi.org/10.1109/36.285192
Experimental depth dose curves of a 67.5 MeV proton beam for benchmarking and validation of Monte Carlo simulation

Journal Article Ramos-Méndez, José; Daftari, Inder; Shin, Jungwook; ... - Medical Physics

Purpose: To measure depth dose curves for a 67.5 ± 0.1 MeV proton beam for benchmarking and validation of Monte Carlo simulation. Methods: Depth dose curves were measured in 2 beam lines. Protons in the raw beam line traversed a Ta scattering foil, 0.1016 or 0.381 mm thick, a secondary emission monitor comprised of thin Al foils, and a thin Kapton exit window. The beam energy and peak width and the composition and density of material traversed by the beam were known with sufficient accuracy to permit benchmark quality measurements. Diodes for charged particle dosimetry from two different manufacturers weremore »« less
https://doi.org/10.1118/1.4922501

Similar Records