Comparison of similar Mueller and Jones matrix method in catheter based polarization sensitive optical coherence tomography

Li, Qingrui; Lai, Tianduo; Ding, Zhenyang; Tao, Kuiyuan; Zhu, Fengyu; Kuang, Hao; Hua, Peidong; Yin, Yaozu; Liu, Tiegen

doi:10.1016/j.optlastec.2021.107691

Cited by 3 publications

(4 citation statements)

References 49 publications

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“…So the noises would appear not only on the intensity but also all 4 elements of Jones and 16 entries of Mueller matrices. 25,34 We use SMM and MMA methods to demodulate the simulation data to obtain the spatial PS-OCT image. 25,28,34 ROR are selected as 2560 pixels on the top area, and reference points for SMM and MMA are selected as a horizontal 1-pixel-width line with 512 pixels on the simulating tissue surface.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

“…25,34 We use SMM and MMA methods to demodulate the simulation data to obtain the spatial PS-OCT image. 25,28,34 ROR are selected as 2560 pixels on the top area, and reference points for SMM and MMA are selected as a horizontal 1-pixel-width line with 512 pixels on the simulating tissue surface. 25 We calculate EMDI, DI, and DOPU based on simulation images under different g and SNR values, and then these results contrast by setting true DI and DOPU shown in Figure 2(a) shows that DOPU, DI, and EMDI for a nondepolarized simulation material with g = 1 among additive noise from SNR = 0 to 15.…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

“…For each simulation, two different SOPs of simulated lights are successively launched into the simulating tissue, and their output signals are collected by H and V channels, respectively. So the noises would appear not only on the intensity but also all 4 elements of Jones and 16 entries of Mueller matrices. , We use SMM and MMA methods to demodulate the simulation data to obtain the spatial PS-OCT image. ,, ROR are selected as 2560 pixels on the top area, and reference points for SMM and MMA are selected as a horizontal 1-pixel-width line with 512 pixels on the simulating tissue surface . We calculate EMDI, DI, and DOPU based on simulation images under different g and SNR values, and then these results contrast by setting true DI and DOPU shown in Figure .…”

Section: Monte Carlo Simulationmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of Medium Depolarization Index with Noise Immunity in Catheter-Based PS-OCT toward Vascular Plaques Detection

Li,

Ding,

et al. 2024

Chemical & Biomedical Imaging

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Medium depolarization imaging by catheter-based polarization-sensitive optical coherence tomography (PS-OCT) can provide valuable insight into significant features of lipid, macrophages, and cholesterol crystals in atherosclerotic vulnerable plaques. In this paper, we demonstrate a method to achieve an accurate estimation of the medium depolarization index (EMDI) with noise immunity in catheter-based PS-OCT. EMDI is calculated by an iterative approximation based on Lu−Chipman matrix decomposition and Frobenius norm judgment of incoherent averaging of Mueller matrices. Monte Carlo simulation results verify that the medium depolarization measurement by EMDI is 3.3 times more accurate compared with those of the depolarization index (DI) and degree of polarization uniformity (DOPU). In experiments, we design a microsphere suspension with various concentrations and measure EMDI under different additive noise. Consistently, the measurement accuracy by EMDI is increased 2.85 times compared to those by DI and DOPU. For vascular plaques detection, we use protein and cholesterol gel as plaque phantoms. Based on PS-OCT images of plaque phantom in vitro and in ex vivo porcine coronary artery, the recognition rate of plaque by EMDI is 2.99 to 4.65 times higher than those by DI and DOPU evaluated by spatial response of the Laplacian operator (SRLO).

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Section: Monte Carlo Simulationmentioning

confidence: 99%

Section: Monte Carlo Simulationmentioning

confidence: 99%

Section: Monte Carlo Simulationmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Medium Depolarization Index with Noise Immunity in Catheter-Based PS-OCT toward Vascular Plaques Detection

Li,

Ding,

et al. 2024

Chemical & Biomedical Imaging

Self Cite

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“…The characteristics of OCT, such as the high resolution, ease of use, patient comfort and low cost, make it very popular in ophthalmology, surgery and neuroscience, e.g., retinal pathology, intravascular imaging and lumen detection. Currently, OCT has become the most mainstream technology in retinal imaging due to its high resolution and ability to clearly display the structure of retinal cell layers [1].…”

Section: Introductionmentioning

confidence: 99%

Accurate retinal layer segmentation of optical coherence tomography images using dense encoder and position attention

Chen,

Du,

Song

et al. 2024

International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024)

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Retinal layer thickness is one of the important indicators for diagnosing ophthalmic diseases, therefore, automatic segmentation and quantitative calculation of the retinal layer are of great significance. However, currently in retinal optical coherence tomography images, there are many problems with retinal stratification, such as the lack of contextual semantic information due to blurred boundaries of each layer of the retina, and the discontinuity in the pathological change region. In this paper, a novel dense encoder and position attention method which is introduced into the encoding and decoding architecture is proposed to improve the precision of retinal layer segmentation and measurement. The dense encoder block can learn and extract more diverse the global context, and the position attention is to ensure the spatial consistency of retinal targets boundaries and regions, to improve the imbalance between retinal layer boundaries and obtain more continuous prediction classes for the same retinal layer structure. The validation results demonstrate that our proposed method achieved an average dice of 87.35%, and the average thickness error of the retinal layers was reduced to 1.74 pixels. In particular, it provides an effective strategy to improve the boundaries of segmentation and accurately segment and measure the retinal layers.

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Reducing noise in polarization-sensitive optical coherence tomography for high-quality local phase retardation imaging

Chen,

Wang,

2024

Appl. Opt.

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Local phase retardation (LPR) is increasingly recognized as a crucial biomarker for assessing disease progression. However, the presence of speckle noise significantly challenges its accuracy and polarization contrast. To address this challenge, we propose a signal-processing strategy aimed at reducing the impact of noise on LPR measurements. In this approach, the LPR is reconstructed by polar decomposition after averaging multiple Mueller matrices from different overlapping sub-spectra. To optimize measurement accuracy, we systematically combined and traversed different sub-spectral numbers and bandwidths. By examining the quarter-wave plate and glass slide, high-accuracy phase retardation measurements were successfully verified, and the maximum polarization contrast was improved by 23%. Moreover, experimental results from multi-tissue imaging vividly illustrate that the equivalent number of looks (ENL) and polarization contrast were improved by 18% and 19%, respectively. This outcome indicates that our proposed strategy can effectively reduce the noise spikes, enhancing tissue discrimination capabilities.

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Comparison of similar Mueller and Jones matrix method in catheter based polarization sensitive optical coherence tomography

Cited by 3 publications

References 49 publications

Estimation of Medium Depolarization Index with Noise Immunity in Catheter-Based PS-OCT toward Vascular Plaques Detection

Estimation of Medium Depolarization Index with Noise Immunity in Catheter-Based PS-OCT toward Vascular Plaques Detection

Accurate retinal layer segmentation of optical coherence tomography images using dense encoder and position attention

Reducing noise in polarization-sensitive optical coherence tomography for high-quality local phase retardation imaging

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