Deriving Polarimetry Feature Parameters to Characterize Microstructural Features in Histological Sections of Breast Tissues

Dong, Yonggui; Wan, Jiachen; Si, Lu; Meng, Yixin; Dong, Yanmin; Liu, Shaoxiong; He, Honghui; Ma, Hui

doi:10.1109/tbme.2020.3019755

Cited by 68 publications

(50 citation statements)

References 51 publications

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“…Polarisation angle (PA) and intensity are used as main parameters 154 , 155 . b MM based approaches: (i) MMPD method 52 : diattenuation (D), retardance (R) and depolarisation (Δ) (all of them maintain linear/circular components); and (ii) MMT method 57 : depolarisation (1-b; associated with small molecule scattering), level of linear anisotropy (t1), azimuth orientation of the anisotropy (α1), and more 179 ; (iii) PFP method 95 ; (iv) Property of symmetry and asymmetry 168 , 169 . (b(i)) Adapted with permission from ref.…”

Section: Vectorial Information Extraction Methods For Biomedical Applicationsmentioning

confidence: 99%

“…However, extraction through the MM polarisation parameters that have less assumptions and clearer physical meaning is always something to strive for. Several works pointed in such a direction: (1) Gil et al and Li et al proposed different polarisation parameters with physical determination via the asymmetric properties of the MM elements 168 , 169 , by considering assumptions about layer constructions or the presence of absence of specific vector properties such as polarisance or diattenuation; (2) Dong et al employed a data-driven machine learning technique to fit several polarimetry feature parameters (PFPs) for characterising determined pathological applications, such as detection of the abnormal areas of breast carcinoma and cervical cancerous tissue slices 95 (see Fig. 5b (iii)); 3) Breaking or restoring the symmetry (see Fig.…”

Section: Vectorial Information Extraction Methods For Biomedical Applicationsmentioning

confidence: 99%

“…Although there are some applications that require high-speed operation, such as detection in dynamic situations like in vivo sensing for clinical diagnosis 24 , time-sequenced polarimeters still play an important role in modern polarimetric research, due to their mature state of development and simple configuration. Such applications include characterisation of complex vector fields 6 , 7 , 9 , or providing ground truth validation in tissue research (e.g., differentiating human breast cancer 93 – 95 ).…”

Section: Vectorial Information Measurement Techniques For Biomedical Applicationsmentioning

confidence: 99%

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Polarisation optics for biomedical and clinical applications: a review

et al. 2021

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Many polarisation techniques have been harnessed for decades in biological and clinical research, each based upon measurement of the vectorial properties of light or the vectorial transformations imposed on light by objects. Various advanced vector measurement/sensing techniques, physical interpretation methods, and approaches to analyse biomedically relevant information have been developed and harnessed. In this review, we focus mainly on summarising methodologies and applications related to tissue polarimetry, with an emphasis on the adoption of the Stokes–Mueller formalism. Several recent breakthroughs, development trends, and potential multimodal uses in conjunction with other techniques are also presented. The primary goal of the review is to give the reader a general overview in the use of vectorial information that can be obtained by polarisation optics for applications in biomedical and clinical research.

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Section: Vectorial Information Extraction Methods For Biomedical Applicationsmentioning

confidence: 99%

Section: Vectorial Information Extraction Methods For Biomedical Applicationsmentioning

confidence: 99%

Section: Vectorial Information Measurement Techniques For Biomedical Applicationsmentioning

confidence: 99%

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Polarisation optics for biomedical and clinical applications: a review

et al. 2021

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“…Dong et al identified distinct pathological features in the breast tissue, that is, cell nuclei and collagen fibers organized as aligned and disorganized collagen, which can be correlated with microscopic polarimetry images. 50 While the normal breast tissue did not show any cell proliferation, the proportion of disorganized collagen was higher. However, ductal carcinoma was characterized by an increased accumulation of cell nuclei, an increase in aligned collagen fibers, and decreased disorganized collagen.…”

Section: Breast Tissuementioning

confidence: 88%

Histopathological correlations of bulk tissue polarimetric images: Case study

Sharma

Sujatha

Balasubramanian

et al. 2021

Journal of Biophotonics

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Polarimetric imaging and image analysis have gained increased interest in soft tissue analysis at the cellular level. However, polarimetric imaging has widely been tested on thin tissue sections to provide reliable information correlated with histopathological findings. Polarimetric bulk tissue analysis always offered an overall assessment of various tissue optical properties for diagnosis. In this study, the histopathological correlation of bulk tissue polarimetry images for soft tissues is discussed. The first-hand information on the use of bulk tissue Mueller polarimetry and image analysis as an alternative to tissue histopathology is presented for surgically extracted colon and breast tissues.

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“…The development of polarization sensitive optical techniques for the accurate, fast, and non-contact diagnosis of the PTB risk in clinical settings represents the real challenge, as these modalities have potential to revolutionize the current medical practice of PTB risk diagnosis. The most promising approach includes using the complete Mueller polarimetry 14 – 16 combined with the state-of-the-art Mueller matrix decompositions and data processing algorithms 17 – 20 , because (i) Mueller matrix images of a sample contain information on all polarimetric properties (diattenuation, retardance, depolarization) 14 of a sample, contrary to the incomplete polarimetric techniques (e.g. Stokes polarimetry, orthogonal state contrast measurements, etc.…”

Section: Introductionmentioning

confidence: 99%

Mueller matrix imaging for collagen scoring in mice model of pregnancy

Lee

Saytashev

et al. 2021

Sci Rep

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Preterm birth risk is associated with early softening of the uterine cervix in pregnancy due to the accelerated remodeling of collagen extracellular matrix. Studies of mice model of pregnancy were performed with an imaging Mueller polarimeter at different time points of pregnancy to find polarimetric parameters for collagen scoring. Mueller matrix images of the unstained sections of mice uterine cervices were taken at day 6 and day 18 of 19-days gestation period and at different spatial locations through the cervices. The logarithmic decomposition of the recorded Mueller matrices mapped the depolarization, linear retardance, and azimuth of the optical axis of cervical tissue. These images highlighted both the inner structure of cervix and the arrangement of cervical collagen fibers confirmed by the second harmonic generation microscopy. The statistical analysis and two-Gaussians fit of the distributions of linear retardance and linear depolarization in the entire images of cervical tissue (without manual selection of the specific regions of interest) quantified the randomization of collagen fibers alignment with gestation time. At day 18 the remodeling of cervical extracellular matrix of collagen was measurable at the external cervical os that is available for the direct optical observations in vivo. It supports the assumption that imaging Mueller polarimetry holds promise for the fast and accurate collagen scoring in pregnancy and the assessment of the preterm birth risk.

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Deriving Polarimetry Feature Parameters to Characterize Microstructural Features in Histological Sections of Breast Tissues

Cited by 68 publications

References 51 publications

Polarisation optics for biomedical and clinical applications: a review

Polarisation optics for biomedical and clinical applications: a review

Histopathological correlations of bulk tissue polarimetric images: Case study

Mueller matrix imaging for collagen scoring in mice model of pregnancy

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