Literature DB >> 31465142

Distinguishing structural features between Crohn's disease and gastrointestinal luminal tuberculosis using Mueller matrix derived parameters.

Teng Liu1,2, Min Lu3, Binguo Chen1,4, Qinsong Zhong5, Jingyu Li5, Honghui He1, Hua Mao3, Hui Ma1,2,6.   

Abstract

Recently, the incidence of inflammatory bowel diseases, especially the Crohn's disease (CD) and gastrointestinal luminal tuberculosis (ITB), has grown rapidly worldwide. Currently there is no general gold standard to distinguish between CD and ITB tissues, which both have tuberculosis and surrounding fibrous structures. Mueller matrix imaging technique is suitable for describing the location, density and distribution behavior of such fibrous structures. In this study, we apply the Mueller matrix microscopic imaging to the CD and ITB tissue samples. The 2D Mueller matrix images of the CD and ITB tissue slices are measured using the Mueller matrix microscope developed in our previous study, then the Mueller matrix polar decomposition and Mueller matrix transformation parameters are calculated. To evaluate the distribution features of the fibrous structures surrounding the tuberculosis areas more quantitatively and precisely, we analyze the retardance related Mueller matrix derived parameters, which show clear different distribution behaviors between the CD and ITB tissues, using the Tamura image processing method. It is demonstrated that the Mueller matrix derived parameters can reveal the structural features of tuberculosis areas and be used as quantitative indicators to distinguish between CD and ITB tissues, which may be useful for the clinical diagnosis.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Mueller matrix; biomedical diagnosis; pathology; polarization imaging

Year:  2019        PMID: 31465142     DOI: 10.1002/jbio.201900151

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  5 in total

1.  Assessment of tissue pathology using optical polarimetry.

Authors:  Zahra Ali; Tariq Mahmood; Ayesha Shahzad; Muaz Iqbal; Iftikhar Ahmad
Journal:  Lasers Med Sci       Date:  2021-10-23       Impact factor: 3.161

2.  Deep learning for denoising in a Mueller matrix microscope.

Authors:  Xiongjie Yang; Qianhao Zhao; Tongyu Huang; Zheng Hu; Tongjun Bu; Honghui He; Anli Hou; Migao Li; Yucheng Xiao; Hui Ma
Journal:  Biomed Opt Express       Date:  2022-05-24       Impact factor: 3.562

3.  Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography.

Authors:  Yifeng Zeng; William C Chapman; Yixiao Lin; Shuying Li; Matthew Mutch; Quing Zhu
Journal:  J Biophotonics       Date:  2020-10-22       Impact factor: 3.207

4.  Effect of the Samples' Surface With Complex Microscopic Geometry on 3 × 3 Mueller Matrix Measurement of Tissue Bulks.

Authors:  Yi-Rong Liu; Wei-Zheng Sun; Jian Wu
Journal:  Front Bioeng Biotechnol       Date:  2022-03-09

5.  Analyzing the Influence of Imaging Resolution on Polarization Properties of Scattering Media Obtained From Mueller Matrix.

Authors:  Conghui Shao; Binguo Chen; Honghui He; Chao He; Yuanxing Shen; Haoyu Zhai; Hui Ma
Journal:  Front Chem       Date:  2022-07-12       Impact factor: 5.545

  5 in total

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