1. Articles from Yahui Wang

    1-6 of 6
    1. Line field Fourier domain optical coherence tomography based on a spatial light modulator

      Line field Fourier domain optical coherence tomography based on a spatial light modulator

      In this study, we developed a line-field Fourier domain optical coherence tomography (LF-FDOCT) system that performs lateral scanning using a two-dimension spatial light modulator and detects multiple channels of spectral domain OCT signal in parallel using a two-dimensional sensor. The LF-FDOCT system eliminates the need for mechanical scanning to acquire volumetric OCT data. It allows parallel acquisition of signal for B mode scan imaging through snapshot detection and offers unprecedented flexibility to select a fast scanning dimension. In this work, we describe the principle of LF-FDOCT imaging and present experimental results to demonstrate the effectiveness of this technology.

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    2. Optically computed optical coherence tomography for volumetric imaging

      Optically computed optical coherence tomography for volumetric imaging

      We describe an innovative optically computed optical coherence tomography (OC-OCT) technology. The OC-OCT system performs depth resolved imaging by computing the Fourier transform of the interferometric spectra optically. The OC-OCT system modulates the interferometric spectra with Fourier basis function projected to a spatial light modulator and detects the modulated signal without spectral discrimination. The novel, to the best of our knowledge, optical computation strategy enables volumetric OCT imaging without performing mechanical scanning and without the need for Fourier transform in a computer.

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    3. Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography

      Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography

      Optical coherence tomography (OCT) is based on coherence detection of interferometric signals and hence inevitably suffers from speckle noise. To remove speckle noise in OCT images, wavelet domain thresholding has demonstrated significant advantages in suppressing noise magnitude while preserving image sharpness. However, speckle noise in OCT images has different characteristics in different spatial scales, which has not been considered in previous applications of wavelet domain thresholding. In this study, we demonstrate a noise adaptive wavelet thresholding (NAWT) algorithm that exploits the difference of noise characteristics in different wavelet sub-bands. The algorithm is simple, fast, effective and is closely related to ...

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    4. Secure fingerprint identification based on structural and microangiographic optical coherence tomography

      Secure fingerprint identification based on structural and microangiographic optical coherence tomography

      Optical coherence tomography (OCT) allows noncontact acquisition of fingerprints and hence is a highly promising technology in the field of biometrics. OCT can be used to acquire both structural and microangiographic images of fingerprints. Microangiographic OCT derives its contrast from the blood flow in the vasculature of viable skin tissue, and microangiographic fingerprint imaging is inherently immune to fake fingerprint attack. Therefore, dual-modality (structural and microangiographic) OCT imaging of fingerprints will enable more secure acquisition of biometric data, which has not been investigated before. Our study on fingerprint identification based on structural and microangiographic OCT imaging is, we believe, highly ...

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    5. Quantitative optical coherence elastography based on fiber-optic probe for in situ measurement of tissue mechanical properties

      Quantitative optical coherence elastography based on fiber-optic probe for in situ measurement of tissue mechanical properties

      We developed a miniature quantitative optical coherence elastography (qOCE) instrument with an integrated Fabry-Perot force sensor, for in situ elasticity measurement of biological tissue. The technique has great potential for biomechanics modeling and clinical diagnosis. We designed the fiber-optic qOCE probe that was used to exert a compressive force to deform tissue at the tip of the probe. Using the space-division multiplexed optical coherence tomography (OCT) signal detected by a spectral domain OCT engine, we were able to quantify the probe deformation that was proportional to the force applied, and to quantify the tissue deformation corresponding to the external stimulus ...

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    6. Robust motion tracking based on adaptive speckle decorrelation analysis of OCT signal

      Robust motion tracking based on adaptive speckle decorrelation analysis of OCT signal

      Speckle decorrelation analysis of optical coherence tomography (OCT) signal has been used in motion tracking. In our previous study, we demonstrated that cross-correlation coefficient (XCC) between Ascans had an explicit functional dependency on the magnitude of lateral displacement ( δx ). In this study, we evaluated the sensitivity of speckle motion tracking using the derivative of function XCC( δx ) on variable δx . We demonstrated the magnitude of the derivative can be maximized. In other words, the sensitivity of OCT speckle tracking can be optimized by using signals with appropriate amount of decorrelation for XCC calculation. Based on this finding, we developed an ...

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    1-6 of 6
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    1. (1 articles) Harvard University
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    Robust motion tracking based on adaptive speckle decorrelation analysis of OCT signal Quantitative optical coherence elastography based on fiber-optic probe for in situ measurement of tissue mechanical properties Secure fingerprint identification based on structural and microangiographic optical coherence tomography Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography Optically computed optical coherence tomography for volumetric imaging Line field Fourier domain optical coherence tomography based on a spatial light modulator Clinical Trials Critical for the Evaluation of Advanced Medical Imaging Tools Voxeleron Welcomes Manabu Tokunaga as new Director of Software Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography A longitudinal comparison in cynomolgus macaques of the effect of brimonidine on optic nerve neuropathy using diffusion tensor imaging magnetic resonance imaging and spectral domain optical coherence tomography Design of 1300-nm spectral domain optical coherence tomography angiography system for iris microvascular imaging Perimeter Medical Imaging AI Announces Important Milestone in ATLAS AI Project with Standalone AI Algorithm Achieving Key Performance Metrics