Evolution of raw meat polarization‐based properties by means of Mueller matrix imaging

Peyvasteh, Motahareh; Попов, А. П.; Bykov, Alexander; Pierangelo, Angelo; Novikova, Tatiana; Meglinski, Igor

doi:10.1002/jbio.202000376

Cited by 13 publications

(5 citation statements)

References 51 publications

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“…With MMP, the information about the polarization changing properties of a sample can be obtained. 14 The MM combines the complete polarization properties of a sample within a

matrix. 15 The sample is illuminated at different polarization states.…”

Section: Methodsmentioning

confidence: 99%

Registration of polarimetric images for in vivo skin diagnostics

et al. 2022

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. Significance: Mueller matrix (MM) polarimetry is a promising tool for the detection of skin cancer. Polarimetric in vivo measurements often suffer from misalignment of the polarimetric images due to motion, which can lead to false results. Aim: We aim to provide an easy-to-implement polarimetric image data registration method to ensure proper image alignment. Approach: A feature-based image registration is implemented for an MM polarimeter for phantom and in vivo human skin measurements. Results: We show that the keypoint-based registration of polarimetric images is necessary for in vivo skin polarimetry to ensure reliable results. Further, we deliver an efficient semiautomated method for the registration of polarimetric images. Conclusions: Image registration for in vivo polarimetry of human skin is required for improved diagnostics and can be efficiently enhanced with a keypoint-based approach.

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“…With MMP, the information about the polarization changing properties of a sample can be obtained. 14 The MM combines the complete polarization properties of a sample within a

matrix. 15 The sample is illuminated at different polarization states.…”

Section: Methodsmentioning

confidence: 99%

Registration of polarimetric images for in vivo skin diagnostics

et al. 2022

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“…Thus, by measuring these modulations or loss of polarization, we may deduce the polarimetric properties (e. g. diattenuation, birefringence, depolarization [7]) of a sample and use them for its characterization. This approach was widely explored in metrological applications [8,9], food quality control [10][11][12], pharmaceutical drug studies [13,14], biomedical diagnosis [15][16][17][18][19][20], etc. Using changes in tissue depolarization with pathology development for histology analysis and diagnosis was extensively studied in [21][22][23][24][25] for different types of tissue.…”

Section: Introductionmentioning

confidence: 99%

Optical diagnosis of gastric tissue biopsies with Mueller microscopy and statistical analysis

Novikova¹,

Kim²,

Lee³

et al. 2022

J. Eur. Opt. Society-Rapid Publ.

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We investigate a possibility of producing the quantitative optical metrics to characterize the evolution of gastric tissue from healthy conditions via inflammation to cancer by using Mueller microscopy of gastric biopsies, regression model and statistical analysis of the predicted images. For this purpose the unstained sections of human gastric tissue biopsies at different pathological conditions were measured with the custom-built Mueller microscope. Polynomial regression model was built using the maps of transmitted intensity, retardance, dichroism and depolarization to generate the predicted images. The statistical analysis of predicted images of gastric tissue sections with multi-curve fit suggests that Mueller microscopy combined with data regression and statistical analysis is an effective approach for quantitative assessment of the degree of inflammation in gastric tissue biopsies with a high potential in clinical applications.

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“…Mueller matrix polarimetry (MMP) has a wide variety of possible applications in material sciences [ 9 ] and biomedical sciences [ 10 ], such as ophthalmology [ 11 ] and oncology [ 12 ]. With Mueller matrix polarimetry, it is possible to obtain information about the tissue composition and structure [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Mueller Matrix Microscopy for In Vivo Scar Tissue Diagnostics and Treatment Evaluation

Jütte

Roth

2022

Sensors

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Scars usually do not show strong contrast under standard skin examination relying on dermoscopes. They usually develop after skin injury when the body repairs the damaged tissue. In general, scars cause multiple types of distress such as movement restrictions, pain, itchiness and the psychological impact of the associated cosmetic disfigurement with no universally successful treatment option available at the moment. Scar treatment has significant economic impact as well. Mueller matrix polarimetry with integrated autofocus and automatic data registration can potentially improve scar assessment by the dermatologist and help to make the evaluation of the treatment outcome objective. Polarimetry can provide new physical parameters for an objective treatment evaluation. We show that Mueller matrix polarimetry can enable strong contrast for in vivo scar imaging. Additionally, our results indicate that the polarization stain images obtained form there could be a useful tool for dermatology. Furthermore, we demonstrate that polarimetry can be used to monitor wound healing, which may help prevent scarring altogether.

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Evolution of raw meat polarization‐based properties by means of Mueller matrix imaging

Cited by 13 publications

References 51 publications

Registration of polarimetric images for in vivo skin diagnostics

Registration of polarimetric images for in vivo skin diagnostics

Optical diagnosis of gastric tissue biopsies with Mueller microscopy and statistical analysis

Mueller Matrix Microscopy for In Vivo Scar Tissue Diagnostics and Treatment Evaluation

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