1. Articles from Ameneh Boroomand

    1-5 of 5
    1. Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation

      Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation

      Spectral Domain Optical Coherence Tomography (SD-OCT) is a well-known imaging modality which allows for \textit{in-vivo} visualization of the morphology of different biological tissues at cellular level resolutions. The overall SD-OCT imaging quality in terms of axial resolution and Signal-to-Noise Ratio (SNR) degrades with imaging depth, while the lateral resolution degrades with distance from the focal plane. This image quality degradation is due both to the design of the SD-OCT imaging system and the optical properties of the imaged object. Here, we present a novel Depth Compensated SD-OCT (DC-OCT) system that integrates a Depth Compensating Digital Signal Processing (DC-DSP) module ...

      Read Full Article
    2. Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework

      Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework

      The axial resolution of Spectral Domain Optical Coherence Tomography (SD-OCT) images degrades with scanning depth due to the limited number of pixels and the pixel size of the camera, any aberrations in the spectrometer optics and wavelength dependent scattering and absorption in the imaged object [1]. Here we propose a novel algorithm which compensates for the blurring effect of these factors of the depth-dependent axial Point Spread Function (PSF) in SDOCT images. The proposed method is based on a Maximum A Posteriori (MAP) reconstruction framework which takes advantage of a Stochastic Fully Connected Conditional Random Field (SFCRF) model. The aim ...

      Read Full Article
    3. Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images

      Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images

      Improving the spatial resolution of Optical Coherence Tomography (OCT) images is important for the visualization and analysis of small morphological features in biological tissue such as blood vessels, membranes, cellular layers, etc. In this paper, we propose a novel reconstruction approach to obtaining super-resolved OCT tomograms from multiple lower resolution images. The proposed Multi-Penalty Conditional Random Field (MPCRF) method combines four different penalty factors (spatial proximity, first and second order intensity variations, as well as a spline-based smoothness of fit) into the prior model within a Maximum A Posteriori (MAP) estimation framework. Test carried out in retinal OCT images illustrate ...

      Read Full Article
    4. Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling

      Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling

      Optical coherence tomography (OCT) allows for non-invasive 3D visualization of biological tissue at cellular level resolution. Often hindered by speckle noise, the visualization of important biological tissue details in OCT that can aid disease diagnosis can be improved by speckle noise compensation. A challenge with handling speckle noise is its inherent non-stationary nature, where the underlying noise characteristics vary with the spatial location. In this study, an innovative speckle noise compensation method is presented for handling the non-stationary traits of speckle noise in OCT imagery. The proposed approach centers on a non-stationary spline-based speckle noise modeling strategy to characterize the ...

      Read Full Article
    5. Maximization of signal-to-noise ratio in optical coherence tomography using a depth-dependent matched filter

      Maximization of signal-to-noise ratio in optical coherence tomography using a depth-dependent matched filter

      We discuss and demonstrate the dependence of noise on the signal in time-domain optical coherence tomography (TDOCT). We then derive a depth-dependent matched filter to maximize the signal-to-noise ratio at every pixel in a depth scan (A-scan). We use an empirical estimate of the second order statistics of the noise in OCT images of vascular tissue to implement a depth-dependent filter that is matched to these images. The application of our filter results in an average increase of signal-to-noise ratio of about 7 dB compared to a simple averaging operation. Our filter is not specific to time-domain OCT, but it ...

      Read Full Article
    1-5 of 5
  1. Categories

    1. Applications:

      Art, Cardiology, Dentistry, Dermatology, Developmental Biology, Gastroenterology, Gynecology, Microscopy, NDE/NDT, Neurology, Oncology, Ophthalmology, Other Non-Medical, Otolaryngology, Pulmonology, Urology
    2. Business News:

      Acquisition, Clinical Trials, Funding, Other Business News, Partnership, Patents
    3. Technology:

      Broadband Sources, Probes, Tunable Sources
    4. Miscellaneous:

      Jobs & Studentships, Student Theses, Textbooks
  2. Topics in the News

    1. (4 articles) University of Waterloo
    2. (4 articles) Kostadinka K. Bizheva
    3. (1 articles) University of Manitoba
    4. (1 articles) National Research Council Canada
    5. (1 articles) Sherif S. Sherif
    6. (1 articles) Valery V. Tuchin
    7. (1 articles) Dan P. Popescu
    8. (1 articles) Michael G. Sowa
    9. (1 articles) James G. Fujimoto
    10. (1 articles) Joseph A. Izatt
    11. (1 articles) Carl Zeiss Meditec
  3. Popular Articles

  4. Picture Gallery

    Maximization of signal-to-noise ratio in optical coherence tomography using a depth-dependent matched filter Stochastic speckle noise compensation in optical coherence tomography using non-stationary spline-based speckle noise modelling Multi-penalty conditional random field approach to super-resolved reconstruction of optical coherence tomography images Axial resolution improvement in spectral domain optical coherence tomography using a depth-adaptive maximum-a-posterior framework Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation Non Exudative AMD Imaged With SS-OCT- Extension High space-bandwidth in quantitative phase imaging using partially spatially coherent optical coherence microscopy and deep neural network Optical coherence tomography assessment of macrophages accumulation in non-ST-segment elevation acute coronary syndromes Early disability in ambulatory patients with multiple sclerosis: optical coherence tomography versus visual evoked potentials, a comparative study Dueling Deep Q-Network for Unsupervised Inter-frame Eye Movement Correction in Optical Coherence Tomography Volumes Atlas of Optical Coherence Tomography for Glaucoma (Textbook) In-vivo analysis of iron-gold composite nanoparticles as potential exogenous contrast agents for Magnetomotive Optical Coherence Tomography (MMOCT)