Optical Polarimetric Detection for Dental Hard Tissue Diseases Characterization

Hsiao, Tien-Yu; Lee, Shyh Yuan; Sun, Chia‐Liang

doi:10.3390/s19224971

Cited by 5 publications

(7 citation statements)

References 37 publications

(42 reference statements)

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“…4 A variety of nondestructive testing methods have been tried to quantify the cracked teeth. (A)(B)(C) separately show that the identification of optical polarization imaging system,Vibrothermography and X-ray dark field tomography of carcked tooth [101] , [106] , [108] . …”

Section: Quantitative Evaluation Of Cracked Toothmentioning

confidence: 99%

“…Based on the optical birefringence characteristics of the tooth surface [100] ,Tien YH et al [101] constructed an optical polarization imaging system and used this system to detect the excised teeth with cracks.The results show that the system can preliminarily detect the cracks,but the detection results are not completely consistent with the actual depth on the tissue section.…”

Section: Quantitative Evaluation Of Cracked Toothmentioning

confidence: 99%

See 1 more Smart Citation

Diagnosis of cracked tooth: Clinical status and research progress

Liu

et al. 2022

Japanese Dental Science Review

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Section: Quantitative Evaluation Of Cracked Toothmentioning

confidence: 99%

Section: Quantitative Evaluation Of Cracked Toothmentioning

confidence: 99%

Diagnosis of cracked tooth: Clinical status and research progress

Liu

et al. 2022

Japanese Dental Science Review

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“…This need in the dental field is the reason for the development of optical polarisation imaging systems. This imaging system could assist in dental calculus caries and cracked tooth ( 52 , 56 ).…”

Section: Type Of Optical Mems Sensors With Applicationmentioning

confidence: 99%

“… Spinal cord parts of human with integrated FBG sensor (A) ( 57 ). Intervertebral disk in the spinal cord (B) ( 52 ). FBG sensor integrated with intervertebral disk (C) ( 57 ).…”

Section: Type Of Optical Mems Sensors With Applicationmentioning

confidence: 99%

A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application

Upadhyaya

Hasan

Abdel‐Khalek

et al. 2021

Front. Public Health

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This study presented an overview of current developments in optical micro-electromechanical systems in biomedical applications. Optical micro-electromechanical system (MEMS) is a particular class of MEMS technology. It combines micro-optics, mechanical elements, and electronics, called the micro-opto electromechanical system (MOEMS). Optical MEMS comprises sensing and influencing optical signals on micron-level by incorporating mechanical, electrical, and optical systems. Optical MEMS devices are widely used in inertial navigation, accelerometers, gyroscope application, and many industrial and biomedical applications. Due to its miniaturised size, insensitivity to electromagnetic interference, affordability, and lightweight characteristic, it can be easily integrated into the human body with a suitable design. This study presented a comprehensive review of 140 research articles published on photonic MEMS in biomedical applications that used the qualitative method to find the recent advancement, challenges, and issues. The paper also identified the critical success factors applied to design the optimum photonic MEMS devices in biomedical applications. With the systematic literature review approach, the results showed that the key design factors could significantly impact design, application, and future scope of work. The literature of this paper suggested that due to the flexibility, accuracy, design factors efficiency of the Fibre Bragg Grating (FBG) sensors, the demand has been increasing for various photonic devices. Except for FBG sensing devices, other sensing systems such as optical ring resonator, Mach-Zehnder interferometer (MZI), and photonic crystals are used, which still show experimental stages in the application of biosensing. Due to the requirement of sophisticated fabrication facilities and integrated systems, it is a tough choice to consider the other photonic system. Miniaturisation of complete FBG device for biomedical applications is the future scope of work. Even though there is a lot of experimental work considered with an FBG sensing system, commercialisation of the final FBG device for a specific application has not been seen noticeable progress in the past.

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“…In the last decades, there is an increased interest in the use of imaging polarimeters for material classification [ 11 , 12 , 13 ]. The technique has been employed in remote sensing [ 14 ], astronomy [ 15 ], aerospace and defence [ 16 ], biomedical applications [ 17 , 18 , 19 ], and industrial manufacturing [ 20 , 21 ]. Polarimeters can provide partial- or full-polarization information about the captured incoming light, depending on the optical elements employed and the imaging system configuration.…”

Section: Introductionmentioning

confidence: 99%

Paperboard Coating Detection Based on Full-Stokes Imaging Polarimetry

Martelo

Lundgren

Andersson

2020

Sensors

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The manufacturing of high-quality extruded low-density polyethylene (PE) paperboard intended for the food packaging industry relies on manual, intrusive, and destructive off-line inspection by the process operators to assess the overall quality and functionality of the product. Defects such as cracks, pinholes, and local thickness variations in the coating can occur at any location in the reel, affecting the sealable property of the product. To detect these defects locally, imaging systems must discriminate between the substrate and the coating. We propose an active full-Stokes imaging polarimetry for the classification of the PE-coated paperboard and its substrate (before applying the PE coating) from industrially manufactured samples. The optical system is based on vertically polarized illumination and a novel full-Stokes imaging polarimetry camera system. From the various parameters obtained by polarimetry measurements, we propose implementing feature selection based on the distance correlation statistical method and, subsequently, the implementation of a support vector machine algorithm that uses a nonlinear Gaussian kernel function. Our implementation achieves 99.74% classification accuracy. An imaging polarimetry system with high spatial resolution and pixel-wise metrological characteristics to provide polarization information, capable of material classification, can be used for in-process control of manufacturing coated paperboard.

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Optical Polarimetric Detection for Dental Hard Tissue Diseases Characterization

Cited by 5 publications

References 37 publications

Diagnosis of cracked tooth: Clinical status and research progress

Diagnosis of cracked tooth: Clinical status and research progress

A Comprehensive Review on the Optical Micro-Electromechanical Sensors for the Biomedical Application

Paperboard Coating Detection Based on Full-Stokes Imaging Polarimetry

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