A potential strategy for colorectal tumor diagnosis: Polarized light imaging technology

The high mortality rates of colon and rectal tumors have put forward an urgent need for rapid, sensitive, and accurate diagnosis. The polarization imaging technology, with the advantages of noninvasiveness, noncontact, quantification, rapidity, and high sensitivity, is expected to be used for auxiliary diagnosis of colorectal cancer. Herein, the differences in colorectal tissues of four pathological types were studied using this powerful technology. Polarized light imaging combined with the Mueller matrix decomposition (MMPD) method was applied to extract structural features that may be related to colorectal tumors. It demonstrated that parameters [Formula: see text] and [Formula: see text] could reflect the structural differences of colorectal tumors. Preliminary simulated experiment results revealed that the parameter [Formula: see text] was related to the fiber density, and the parameter [Formula: see text] was related to the fiber angle. Then Tamura image texture analysis was used to quantitatively describe tissues of different pathological types, and the results showed that the coarseness, contrast, directionality, and roughness of the four groups were statistically different. Texture analysis based on the quantitative data of the four dimensions could be applied for the identification of benign and malignant colorectal tumors.

Authors

Institutions

Publication Details

Journal
Journal of Innovative Optical Health Sciences
Published
2025-02-21
DOI
https://doi.org/10.1142/s1793545825430023
Citations
1
Primary Topic
Optical Polarization and Ellipsometry
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A potential strategy for colorectal tumor diagnosis: Polarized light imaging technology

Shaoqin Jin, Hua Mao, Min Lu, Songtao Xiang et al.
1 citations
Journal of Innovative Optical Health Sciences
Optical Polarization and Ellipsometry
0.67
article

A potential strategy for colorectal tumor diagnosis: Polarized light imaging technology

Shaoqin Jin, Hua Mao, Min Lu, Songtao Xiang, Linfeng Fan, Liyun Huang
article en
1 citations

Abstract

The high mortality rates of colon and rectal tumors have put forward an urgent need for rapid, sensitive, and accurate diagnosis. The polarization imaging technology, with the advantages of noninvasiveness, noncontact, quantification, rapidity, and high sensitivity, is expected to be used for auxiliary diagnosis of colorectal cancer. Herein, the differences in colorectal tissues of four pathological types were studied using this powerful technology. Polarized light imaging combined with the Mueller matrix decomposition (MMPD) method was applied to extract structural features that may be related to colorectal tumors. It demonstrated that parameters [Formula: see text] and [Formula: see text] could reflect the structural differences of colorectal tumors. Preliminary simulated experiment results revealed that the parameter [Formula: see text] was related to the fiber density, and the parameter [Formula: see text] was related to the fiber angle. Then Tamura image texture analysis was used to quantitatively describe tissues of different pathological types, and the results showed that the coarseness, contrast, directionality, and roughness of the four groups were statistically different. Texture analysis based on the quantitative data of the four dimensions could be applied for the identification of benign and malignant colorectal tumors.

Journal of Innovative Optical Health SciencesVol. 18(02)
Guhua Hospital (CN)
Good health and well-being
Openalex Percentile: Top 35%
Optical Polarization and Ellipsometry
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.