1. Articles from Daniel Ruminski

    1-3 of 3
    1. Multi-parametric imaging of murine brain using spectral and time domain optical coherence tomography

      Multi-parametric imaging of murine brain using spectral and time domain optical coherence tomography

      Examination of brain functions in small animal models may help improve the diagnosis and treatment of neurological conditions. Transcranial imaging of small rodents’ brains poses a major challenge for optical microscopy. Another challenge is to reduce the measurement time. We describe methods and algorithms for three-dimensional assessment of blood flow in the brains of small animals, through the intact skull, using spectral and time domain optical coherence tomography. By introducing a resonant scanner to the optical setup of the optical coherence tomography (OCT) system, we have developed and applied a high-speed spectral OCT technique that allows us to vary the ...

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    2. Fourier domain OCT imaging of American cockroach nervous system

      Fourier domain OCT imaging of American cockroach nervous system

      In this pilot study we demonstrate results of structural Fourier domain OCT imaging of the nervous system of Periplaneta americana L. (American cockroach). The purpose of this research is to develop an OCT apparatus enabling structural imaging of insect neural system. Secondary purpose of the presented research is to develop methods of the sample preparation and handling during the OCT imaging experiments. We have performed imaging in the abdominal nerve cord excised from the American cockroach. For this purpose we have developed a Fourier domain / spectral OCT system operating at 820 nm wavelength range.

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    3. Angiogram visualization and total velocity blood flow assessment based on intensity information analysis of OCT data

      Angiogram visualization and total velocity blood flow assessment based on intensity information analysis of OCT data

      We propose two independent OCT data processing methods allowing visualization and analysis of the blood flow. These methods utilize variations in the OCT intensity images caused by flowing blood. The first method calculates standard deviation of intensity to generate retinal OCT angiograms. We present algorithm of this method and results of application for visualization of the microvasculature in the macular area of the human eye in vivo. The second method calculates cross power spectra of the volumetric intensity images to assess blood flow velocity in three dimensions. Validation of this method for OCT imaging was performed in a flow phantom.

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    1-3 of 3
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  2. Topics in the News

    1. (3 articles) Nicolaus Copernicus University
    2. (3 articles) Iwona Gorczynska
    3. (3 articles) Maciej Wojtkowski
    4. (2 articles) Maciej Szkulmowski
    5. (1 articles) Karol Karnowski
    6. (1 articles) Ireneusz Grulkowski
    7. (1 articles) Daniel Szlag
    8. (1 articles) Andrzej A. Kowalczyk
    9. (1 articles) Tufts University
    10. (1 articles) Technical University of Munich
    11. (1 articles) Chinese Academy of Sciences
    12. (1 articles) Pusan National University
    13. (1 articles) Baylor College of Medicine
    14. (1 articles) Jay S. Duker
    15. (1 articles) Michael Joner
    16. (1 articles) Shang Wang
    17. (1 articles) Nadia K. Waheed
    18. (1 articles) Irina V. Larina
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    Angiogram visualization and total velocity blood flow assessment based on intensity information analysis of OCT data Fourier domain OCT imaging of American cockroach nervous system Multi-parametric imaging of murine brain using spectral and time domain optical coherence tomography Direct inverse linearization of piezoelectric actuator’s initial loading curve and its applications in full-field optical coherence tomography (FF-OCT) Peripapillary Retinal and Choroidal Perfusion in Nonarteritic Ischemic Optic Neuropathy Using Optical Coherence Tomography Angiography Reliability of foveal avascular zone measurements in eyes with retinal vein occlusion using optical coherence tomography angiography SD-OCT parameters and visual field defect in chiasmal compression and the diagnostic value of neural network model Visualization of deep choroidal vasculatures and measurement of choroidal vascular density: a swept-source optical coherence tomography angiography approach Model-to-Data Approach for Deep Learning in Optical Coherence Tomography Intraretinal Fluid Segmentation Validation and application of OCT tissue attenuation index for the detection of neointimal foam cells Live mechanistic assessment of localized cardiac pumping in mammalian tubular embryonic heart Cooperative low-rank models for removing stripe noise from OCTA images