pages 31

Symmetric decomposition of Mueller matrices reveals a new parametric space for polarimetric assistance in colon cancer histopathology

Deyan Ivanov 1, 2
Ekaterina Borisova 3
IGOR MEGLINSKI 5, 6, 7
Publication typeProceedings Article
Publication date2021-03-05
Abstract
Tissue polarimetry could be identified as a complementary optical and non-invasive technique to assist the gold standard histopathology analysis of tissue. In general, polarimetric diagnostics is based on tracing different polarimetric responses (including light depolarization) in tissue zones with structure altered by the benign and pre/cancerous formations. In this manuscript, both healthy and malignant tissue zones of a thick formalin-fixed colon specimen were used for Mueller matrix measurements. Additionally, two more Mueller matrices from Monte Carlo simulation and tissue mimicking phantom were also evaluated, in order to assess polarimetric char- acterization and modeling of turbid media. Symmetric decomposition algorithm of Mueller matrices developed in house was adopted to extract both polarization and depolarization properties, encoded in the Mueller matrix elements. The decomposition products allowed to reveal important information about the internal tissue struc- ture and morphology. The depolarization and polarization parameters were found to follow the particular trends that depend on a choice of parametric space.
Found 

Top-30

Journals

1
Biomedical Optics Express
1 publication, 33.33%
Frontiers in Physics
1 publication, 33.33%
Lasers in Medical Science
1 publication, 33.33%
1

Publishers

1
Optica Publishing Group
1 publication, 33.33%
Frontiers Media S.A.
1 publication, 33.33%
Springer Nature
1 publication, 33.33%
1
  • We do not take into account publications without a DOI.
  • Statistics recalculated weekly.

Are you a researcher?

Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
3
Share
Cite this
GOST |
Cite this
GOST Copy
Ivanov D. et al. Symmetric decomposition of Mueller matrices reveals a new parametric space for polarimetric assistance in colon cancer histopathology // SPIE BiOS 2021. 2021. p. 31.
GOST all authors (up to 50) Copy
Ivanov D., Borisova E., Bykov A., MEGLINSKI I., Ossikovski R. Symmetric decomposition of Mueller matrices reveals a new parametric space for polarimetric assistance in colon cancer histopathology // SPIE BiOS 2021. 2021. p. 31.
RIS |
Cite this
RIS Copy
TY - CPAPER
DO - 10.1117/12.2578090
UR - https://www.spiedigitallibrary.org/conference-proceedings-of-spie/11646/2578090/Symmetric-decomposition-of-Mueller-matrices-reveals-a-new-parametric-space/10.1117/12.2578090.full
TI - Symmetric decomposition of Mueller matrices reveals a new parametric space for polarimetric assistance in colon cancer histopathology
T2 - SPIE BiOS 2021
AU - Ivanov, Deyan
AU - Borisova, Ekaterina
AU - Bykov, Alexander
AU - MEGLINSKI, IGOR
AU - Ossikovski, Razvigor
PY - 2021
DA - 2021/03/05
PB - SPIE-Intl Soc Optical Eng
SP - 31
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@inproceedings{2021_Ivanov,
author = {Deyan Ivanov and Ekaterina Borisova and Alexander Bykov and IGOR MEGLINSKI and Razvigor Ossikovski},
title = {Symmetric decomposition of Mueller matrices reveals a new parametric space for polarimetric assistance in colon cancer histopathology},
year = {2021},
pages = {31},
month = {mar},
publisher = {SPIE-Intl Soc Optical Eng}
}