Dual-Channel Spectral Domain Optical Coherence Tomography Based on a Single Spectrometer Using Compressive Sensing

Yi, Luying; Sun, Liqun; Zou, Ming-Li; Hou, Bo

doi:10.3390/s19184006

Cited by 8 publications

(6 citation statements)

References 33 publications

(51 reference statements)

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“…Scans acquired with OCT-A can be processed to improve the signal-to-noise ratio (SNR) and display very small vessels more accurately. Denoising methods, such as Gaussian filter (10), compressive sensing (11)(12)(13)(14)(15)(16)(17)(18)(19)(20), and Bayesian estimation (11,21), can suppress noise while maintaining vasculature information. Filters that focus on the specific structure of vessels are also applied, such as Frangi filter (22,23), Gabor wavelets, and Fuzzy-C-Means Classification (24).…”

Section: Optical Coherence Tomography Angiographymentioning

confidence: 99%

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

et al. 2022

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The field of ophthalmic imaging has grown substantially over the last years. Massive improvements in image processing and computer hardware have allowed the emergence of multiple imaging techniques of the eye that can transform patient care. The purpose of this review is to describe the most recent advances in eye imaging and explain how new technologies and imaging methods can be utilized in a clinical setting. The introduction of optical coherence tomography (OCT) was a revolution in eye imaging and has since become the standard of care for a plethora of conditions. Its most recent iterations, OCT angiography, and visible light OCT, as well as imaging modalities, such as fluorescent lifetime imaging ophthalmoscopy, would allow a more thorough evaluation of patients and provide additional information on disease processes. Toward that goal, the application of adaptive optics (AO) and full-field scanning to a variety of eye imaging techniques has further allowed the histologic study of single cells in the retina and anterior segment. Toward the goal of remote eye care and more accessible eye imaging, methods such as handheld OCT devices and imaging through smartphones, have emerged. Finally, incorporating artificial intelligence (AI) in eye images has the potential to become a new milestone for eye imaging while also contributing in social aspects of eye care.

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Section: Optical Coherence Tomography Angiographymentioning

confidence: 99%

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

et al. 2022

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“…In the optimization process, the image on the DMD is tilted relative to the folded optical axis because the DMD deflects the light by 24°, so it is necessary to set the FPA imaging tilt as a variable for optimization [ 22 ]. At the same time, in order to avoid interference between the last lens of the telescopic objective and the light reflected by the DMD, the back-working distance of the telescopic objective and the distance from the DMD to the projection objective need to be controlled [ 23 ].…”

Section: Dmd-based Sr Imaging Optical System Designmentioning

confidence: 99%

The Influence of Optical Alignment Error on Compression Coding Superresolution Imaging

Wang

Xing

et al. 2022

Sensors

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Superresolution (SR) imaging technology based on compression coding has always been considered as the key to break through the geometric resolution of the detector. In addition to factors such as the reconstruction algorithm and mounting platform vibrations, the impact of inherent errors in the optical system itself on the reconstruction results of SR imaging is also obvious. To address this issue, a study on the design of the SR optical system and the influence of optical alignment errors on SR imaging was conducted. The design of the SR optical system based on digital micro-mirror device (DMD) for long-wave infrared wavelength was completed, and an athermal analysis of the system was carried out. The design results showed that the SR optical system has good imaging quality in the operating temperature range. The imaging model of the DMD SR imaging optical system is established according to the designed SR optical system. We investigated the influence of various alignment errors, including decenter, tilt, lens interval error and defocus, on the imaging properties of the SR optical system. Various random combinations of alignment errors were introduced into the optical system, respectively, and the SR reconstructed image quality of the imaging system was analyzed using the inverse sensitivity method to obtain the tolerance limits when the system was assembled. Finally, the effectiveness of the method to obtain the alignment tolerance limit of the compression coding SR imaging optical system was verified through a desktop demonstration experiment.

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“…These features were chosen by the authors because their changes after abrasion tests can be predicted looking at the OCT images of the pilling layer as in Figure 7, or changes in their value have no significant relationship to the density of fibers in the pilling layer (H 6 ). According to the meaning of those features described by Equations (12)- (17), the contrast (H 2 ), variance (H 4 ) and entropy (H 9 ) should grow with the number of regions including neighboring bright and dark pixels. This takes place when many fibers pulled from the fabric layer by abrasion tests migrate to the L P layer.…”

Section: Assessment Of Pilling Layer Textural Featuresmentioning

confidence: 99%

“…OCT has recorded the most applications so far in medicine, especially in ophthalmology. Although ophthalmology is currently almost mainstream of OCT application, this technique is still being developed in this field [17] .…”

Section: Introductionmentioning

confidence: 99%

A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography

Sekulska‐Nalewajko

Gocławski

Korzeniewska

2020

Sensors

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Pilling is caused by friction pulling and fuzzing the fibers of a material. Pilling is normally evaluated by visually counting the pills on a flat fabric surface. Here, we propose an objective method of pilling assessment, based on the textural characteristics of the fabric shown in optical coherence tomography (OCT) images. The pilling layer is first identified above the fabric surface. The percentage of protruding fiber pixels and Haralick’s textural features are then used as pilling descriptors. Principal component analysis (PCA) is employed to select strongly correlated features and then reduce the feature space dimensionality. The first principal component is used to quantify the intensity of fabric pilling. The results of experimental studies confirm that this method can determine the intensity of pilling. Unlike traditional methods of pilling assessment, it can also detect pilling in its early stages. The approach could help to prevent overestimation of the degree of pilling, thereby avoiding unnecessary procedures, such as mechanical removal of entangled fibers. However, the research covered a narrow group of fabrics and wider conclusions about the usefulness and limitations of this method can be drawn after examining fabrics of different thickness and chemical composition of fibers.

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Dual-Channel Spectral Domain Optical Coherence Tomography Based on a Single Spectrometer Using Compressive Sensing

Cited by 8 publications

References 33 publications

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

The Influence of Optical Alignment Error on Compression Coding Superresolution Imaging

A Method for the Assessment of Textile Pilling Tendency Using Optical Coherence Tomography

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