Polarized light imaging in biomedicine: emerging Mueller matrix methodologies for bulk tissue assessment

Alali, Sanaz; Vitkin, I. Alex

doi:10.1117/1.jbo.20.6.061104

Cited by 205 publications

(107 citation statements)

References 75 publications

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“…The characteristic polarization information of interest is carried by a 4 3 4 matrix named a Mueller matrix and this can be experimentally obtained from Mueller polarimetry and polarimetric imaging. In recent years, an increasing number of biomedical applications of Mueller polarimetric imaging techniques have been proposed [5], e. g. oral cancerous legion detection [13], cervical cancer and colon cancer detection and staging [12,[14][15][16][17][18][19], assessment of cancer therapy [20], partial bladder obstruction diagnosis [21], guiding mass spectrometry for instant pathology [22], characterizing collagen fibres [23], and these have demonstrated advantages over polarization blind imaging.…”

Section: Introductionmentioning

confidence: 99%

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Mueller polarimetric imaging for surgical and diagnostic applications: a review

2017

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Polarization is a fundamental property of light and a powerful sensing tool that has been applied to many areas. A Mueller matrix is a complete mathematical description of the polarization characteristics of objects that interact with light, and is known as a transfer function of Stokes vectors which characterise the state of polarization of light. Mueller polarimetric imaging measures Mueller matrices over a field of view and thus allows for visualising the polarization characteristics of the objects. It has emerged as a promising technique in recent years for tissue imaging, improving image contrast and providing a unique perspective to reveal additional information that cannot be resolved by other optical imaging modalities. This review introduces the basis of the Stokes-Mueller formulism, interpretation methods of Mueller matrices into fundamental polarization properties, polarization properties of biological tissues, and considerations in the construction of Mueller polarimetric imaging devices for surgical and diagnostic applications, including primary configurations, optimization procedures, calibration methods as well as the instrument polarization properties of several widelyused biomedical optical devices. The paper also reviews recent progress in Mueller polarimetric endoscopes and fibre Mueller polarimeters, followed by the future outlook in applying the technique to surgery and diagnostics. Tissue polarization properties convey morphological, micro-structural and compositional information of tissue with great potential for label free characterization of tissue pathological changes. Recent progress in tissue polarimetric imaging and polarization resolved endoscopy paved the way for translation of polarimetric imaging to surgery and tissue diagnosis.

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Section: Introductionmentioning

confidence: 99%

“…Interferometric methods take advantage of the coherence and phase of light to analyse scattering related to tissue microstructures [2] and fluid flows [3,4]. Optical polarization is another fundamental property of light that is able to provide an interesting and unique insight into tissue [5].…”

Section: Introductionmentioning

confidence: 99%

Mueller polarimetric imaging for surgical and diagnostic applications: a review

2017

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“…Polarized light imaging/spectroscopy has been comprehensively investigated for tissue diagnosis [6][7][8][9][10][11][12][13][14][15][16][17]. Polarized light implementation offers several compelling advantages as follows: (i) surface and beneath-the-surface detection of biological tissue taken from the tissue depolarization properties [11,15]; (ii) tissue anisotropy analysis through the tissue diattentuation and retardance [13,14]; (3) enhanced tissue diagnosis through the combination of complementary depolarization, diattentuation and retardance of the tissues [9].…”

Section: Introductionmentioning

confidence: 99%

“…Polarized light implementation offers several compelling advantages as follows: (i) surface and beneath-the-surface detection of biological tissue taken from the tissue depolarization properties [11,15]; (ii) tissue anisotropy analysis through the tissue diattentuation and retardance [13,14]; (3) enhanced tissue diagnosis through the combination of complementary depolarization, diattentuation and retardance of the tissues [9]. Among the various polarized light imaging/spectroscopy techniques developed [6][7][8][9][10][11][12][13][14]18], MuellerMatrix polarimetry is capable of measuring the complete polarimetric transfer function [6][7][8][9], known as Mueller-matrix, of the bulk biological tissues which are optically inhomogeneous, birefringent, and absorbing media [19]. Currently, biomedical Mueller-Matrix polarimetry is mostly centered on the use of short visible wavelengths of illumination light that has a limited penetration depth and cannot detect lesions in deeper areas [8,9].…”

Section: Introductionmentioning

confidence: 99%

Integrated Mueller-matrix near-infrared imaging and point-wise spectroscopy improves colonic cancer detection

Wang

Zheng

Lin

et al. 2016

Biomed. Opt. Express

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Abstract:We report the development and implementation of a unique integrated Mueller-matrix (MM) near-infrared (NIR) imaging and Muellermatrix point-wise diffuse reflectance (DR) spectroscopy technique for improving colonic cancer detection and diagnosis. Point-wise MM DR spectra can be acquired from any suspicious tissue areas indicated by MM imaging. A total of 30 paired colonic tissue specimens (normal vs. cancer) were measured using the integrated MM imaging and point-wise MM DR spectroscopy system. Polar decomposition algorithms are employed on the acquired images and spectra to derive three polarization metrics including depolarization, diattentuation and retardance for colonic tissue characterization. The decomposition results show that tissue depolarization and retardance are significantly decreased (p<0.001, paired 2-sided Student's t-test, n = 30); while the tissue diattentuation is significantly increased (p<0.001, paired 2-sided Student's t-test, n = 30) associated with colonic cancer. Further partial least squares discriminant analysis (PLS-DA) and leave-one tissue site-out, cross validation (LOSCV) show that the combination of the three polarization metrics provide the best diagnostic accuracy of 95.0% (sensitivity: 93.3%, and specificity: 96.7%) compared to either of the three polarization metrics (sensitivities of 93.3%, 83.3%, and 80.0%; and specificities of 90.0%, 96.7%, and 80.0%, respectively, for the depolarization, diattentuation and retardance metrics) for colonic cancer detection. This work suggests that the integrated MM NIR imaging and point-wise MM NIR diffuse reflectance spectroscopy has the potential to improve the early detection and diagnosis of malignant lesions in the colon. #258157Received 25

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“…However, polarization imaging is an emerging technology and it can provide extra useful information. Thus, it has been widely applied in the fields of material classification [1], fog de-hazing [2], 3D shape reconstruction [3], and biomedical imaging [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

PCA-based denoising method for division of focal plane polarimeters

Zhang¹,

Luo²,

Liang³

et al. 2017

Opt. Express

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Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges. 20799-20807 (2016). 16. E. Gilboa, J. P. Cunningham, A. Nehorai, and V. Gruev, "Image interpolation and denoising for division of focal plane sensors using Gaussian processes," Opt. Express 22(12), 15277-15291 (2014). 17. S. Chang, B. Yu, and M. Vetterli, "Spatially adaptive wavelet thresholding with context modeling for image denoising," IEEE Trans. Image Process. 9(9), 1522-1531 (2000). 18. M. Elad and M. Aharon, "Image denoising via sparse and redundant representations over learned dictionaries,"

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Polarized light imaging in biomedicine: emerging Mueller matrix methodologies for bulk tissue assessment

Cited by 205 publications

References 75 publications

Mueller polarimetric imaging for surgical and diagnostic applications: a review

Mueller polarimetric imaging for surgical and diagnostic applications: a review

Integrated Mueller-matrix near-infrared imaging and point-wise spectroscopy improves colonic cancer detection

PCA-based denoising method for division of focal plane polarimeters

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