Dr. Igor Patrikeev Profile

Dr. Igor Patrikeev

at Univ of Texas Medical Branch

SPIE Involvement:

Author

Publications (16)

Proceedings Article | 12 March 2007 Paper

Paper

Optoacoustic imaging of blood vessels

I. Patrikeev, H. Brecht, Y. Petrov, I. Petrova, D. Prough, R. Esenaliev

Proceedings Volume 6513, 65130R (2007) https://doi.org/10.1117/12.711176

KEYWORDS: Blood vessels, Monte Carlo methods, Blood, Transducers, Ultrasonography, Veins, Absorption, Arteries, Visualization, Tissues

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Proceedings Article | 13 February 2007 Paper

Paper

Noninvasive cerebral blood oxygenation monitoring: clinical test of multi-wavelength optoacoustic system

Y. Petrov, D. Prough, I. Petrova, I. Patrikeev, I. Cicenaite, R. Esenaliev

Proceedings Volume 6437, 643705 (2007) https://doi.org/10.1117/12.714184

KEYWORDS: Blood, Signal attenuation, Tissues, Skin, Veins, Absorption, Brain, Ultrasonography, Optical parametric oscillators, In vitro testing

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Proceedings Article | 13 February 2007 Paper

Paper

Real-time, noninvasive optoacoustic monitoring of nanoparticle-mediated photothermal therapy of tumors

R. Esenaliev, Y. Petrov, I. Cicenaite, O. Chumakova, I. Petrova, I. Patrikeev, A. Liopo

Proceedings Volume 6437, 64370Q (2007) https://doi.org/10.1117/12.714302

KEYWORDS: Tumors, Nanoparticles, Tissues, Heat therapy, Carbon, Ultrasonography, Blood, Nd:YAG lasers, Temperature metrology, Transducers

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Proceedings Article | 13 February 2007 Paper

Paper

Broadband optoacoustic system for noninvasive measurement of total blood hemoglobin concentration in radial artery

Irina Petrova, Donald Prough, Yuriy Petrov, Igor Patrikeev, Rinat Esenaliev

Proceedings Volume 6437, 64371Y (2007) https://doi.org/10.1117/12.714186

KEYWORDS: Blood, Arteries, Transducers, Absorption, Skin, Blood vessels, In vivo imaging, Signal detection, Signal attenuation, Acoustics

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Proceedings Article | 13 February 2007 Paper

Paper

Scanning system for noninvasive optoacoustic monitoring of blood oxygenation in the internal jugular vein

H.-P. Brecht, D. Prough, Y. Petrov, I. Patrikeev, R. Esenaliev

Proceedings Volume 6437, 643704 (2007) https://doi.org/10.1117/12.714129

KEYWORDS: Blood, Blood vessels, Veins, Signal processing, Traumatic brain injury, LabVIEW, Signal detection, Absorption, Optical properties, Hypoxia

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Proceedings Article | 13 February 2007 Paper

Paper

Wavelet differentiation of optoacoustic signals for monitoring of total hemoglobin concentration and oxygen saturation level in small blood vessels

I. Patrikeev, H.-P. Brecht, Y. Petrov, I. Petrova, D. Prough, R. Esenaliev

Proceedings Volume 6437, 643717 (2007) https://doi.org/10.1117/12.714185

KEYWORDS: Signal to noise ratio, Wavelets, Blood vessels, Oxygen, Monte Carlo methods, Signal processing, Smoothing, Blood, Arteries, Skin

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Proceedings Article | 6 March 2006 Paper

Paper

Numerical modeling of light distribution for optoacoustic determination of blood effective attenuation coefficient in radial artery

I. Patrikeev, Y. Petrov, I. Petrova, D. Prough, R. Esenaliev

Proceedings Volume 6086, 60860V (2006) https://doi.org/10.1117/12.657143

KEYWORDS: Signal attenuation, Blood, Arteries, Transducers, Blood vessels, Tissue optics, Signal detection, Skin, Monte Carlo methods, Numerical modeling

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Proceedings Article | 12 July 2004 Paper

Paper

Removing image artifacts in optoacoustic tomography using virtual transducer restoration

Igor Patrickeyev, Alexander Oraevsky

Proceedings Volume 5320, (2004) https://doi.org/10.1117/12.527917

KEYWORDS: Transducers, Tomography, Acoustics, Image restoration, Natural surfaces, Reconstruction algorithms, Image resolution, Sensors, Optical spheres, Numerical simulations

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We propose an approach allowing significant reduction or even complete removal of artifacts that can appear in optoacoustic images acquired with limited number of transducers (missing detectors) due to incomplete data. In optoacoustic tomography the image is reconstructed from a set of acoustic transducers located on the surface of tissue irradiated by a laser. The rigorous solution of the tomographic problem requires covering of the entire surface of the illuminated volume by an array of transducers. However, in practice, only portion of the surface is available. As a result of data incompleteness, artifacts (usually looking like arc-shaped shadows extending from the bright objects) can appear. These artifacts limit the spatial resolution, degrade the image contrast and distort shapes of the reconstructed objects. The results of the numerical simulation, presented in this work, show that the intensity and the shape of the “arc-shadow” artifacts depend on the surface area of uncovered by the acoustic detectors. The cause of the artifacts appearance is the violation of the absorbed energy conservation by the image reconstruction algorithm. Such explanation of this fact represents a key for removal of these artifacts. As presented in the paper, the intensity of the artifacts could be reduced by partial restoration of the missed transducers. In case of sufficient a priori information about number of objects, the proposed algorithm can be considered as the interpolation/extrapolation of the data or substitution of the missed signal by averaged real signal taking into account energy conservation. In a common case, the signals of virtual transducers are restored from the distorted image using the solution of the wave equation. Then the cleaned image is reconstructed from the complete set of signals combining real and virtual transducers. These operations can be repeated iteratively until artifacts become weak. The accuracy of the image reconstruction depends on the number of absent transducers, i.e. portion of the surface area uncovered by the detectors.

Proceedings Article | 1 July 2003 Paper

Paper

Multiresolution wavelet filtering and image reconstruction algorithm for optoacoustic tomography

Igor Patrickeyev, Alexander Oraevsky

Proceedings Volume 4960, (2003) https://doi.org/10.1117/12.477647

KEYWORDS: Wavelets, Image filtering, Transducers, Signal detection, Spherical lenses, Image restoration, Image resolution, Reconstruction algorithms, Tomography, Imaging systems

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Proceedings Article | 16 July 2002 Paper

Paper

Wavelet transform method of speckle image processing for the plane strain-rate measurements

Igor Patrickeyev, Sean Kirkpatrick

Proceedings Volume 4707, (2002) https://doi.org/10.1117/12.475594

KEYWORDS: Speckle, Wavelet transforms, Image processing, Wavelets, Radon transform, Sensors, Continuous wavelet transforms, Tissues, Biomedical optics, Detector arrays

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Proceedings Article | 9 July 2001 Paper

Paper

Tracking speckle motion with directional wavelets

Igor Patrickeyev, Sean Kirkpatrick, Donald Duncan

Proceedings Volume 4257, (2001) https://doi.org/10.1117/12.434734

KEYWORDS: Speckle, Wavelets, Image processing, Radon transform, Continuous wavelet transforms, Tissues, Wavelet transforms, Mechanics, Applied physics, Laser tissue interaction

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Proceedings Article | 27 April 2000 Paper

Paper

Reconstruction of 3D radial distribution of interphase chromatin in lymphocyte nucleus for various diseases

Igor Patrickeyev, Peter Frick, Alexander Zhukotsky

Proceedings Volume 3921, (2000) https://doi.org/10.1117/12.384205

KEYWORDS: Reconstruction algorithms, Wavelets, Tomography, Radon, Radon transform, Blood, Wavelet transforms, Denoising, Mechanics, Medicine

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Proceedings Article | 19 April 2000 Paper

Paper

Interferometric 2D and 3D tomography of photoelastic media

Igor Patrickeyev, Valintin Shakhurdin

Proceedings Volume 3917, (2000) https://doi.org/10.1117/12.382728

KEYWORDS: Tomography, Radon, Reconstruction algorithms, Tissues, Photoelasticity, Refractive index, Interferometry, Wavelets, Radon transform, Geometrical optics

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The experimental study of mechanical stress distribution in biological tissues in-vivo is of interest for some biomedical applications. This work considers the problem of light and stressed tissue interaction and the inverse problem of stress field reconstruction in 2D and 3D cases. Optical tomography is one of the most promising methods of solving these problems. This technique involves the reconstruction of the refractive index field using the measurement of waveform distortion. The reconstruction of stress field requires establishing the relation of the stress tensor to the variation of refraction index. A simple photoelastic model is a reasonable first approximation due to normal functioning of biological tissue. The simple photoelastic model is a reasonable first approximation due to normal functioning of biological tissue. The propagation equation that describes the light propagation through the optically active elastic media obtained in the solving of the forward problem in terms of geometric optics approach. Interferometric, shlieren and depolarization methods of experimental data acquisition are considered. In general, 3D state of a stressed tissue should be described by six components of the stress tensor, but only three propagation equations appear to be independent. To close the system of equations, we have used three partial differential equilibrium equations with appropriate boundary conditions. The system of equations of interferometric tomography is studied in detail. In this case, the separation of stress tensor components results from analytical solving in the Radon domain. For special case of 2D deformation we need only one propagation equation and two equilibrium equations. It is shown that 3D problem can not be reduced to 2D problem in the general case of tensor field tomography. This sends us in search of special 3D algorithms. The use of wavelets is one of perspective ways of tomographic reconstruction under strong noise. 2D and 3D algorithms of the inverse Radon transform through inverse wavelet transform in noisy conditions have been developed.

SPIE Journal Paper | 1 July 1999 Open Access

Open Access

Lymphocyte nucleus reconstruction via wavelet tomography

Igor Patrickeyev, Peter Frick

JBO, Vol. 4, Issue 03, (July 1999) https://doi.org/10.1117/12.10.1117/1.429939

KEYWORDS: Wavelets, Tomography, Reconstruction algorithms, Radon transform, Wavelet transforms, Continuous wavelet transforms, Convolution, Rutherfordium, Blood, Radon

Proceedings Article | 30 June 1994 Paper

Paper

Boundary conditions in the research of stress-strain state by optical tomography method

Igor Patrikeyev, Valintin Shakhurdin

Proceedings Volume 2146, (1994) https://doi.org/10.1117/12.178535

KEYWORDS: Photoelasticity, Optical tomography, Radon transform, Radon, Crystals, Inverse problems, 3D modeling, Computer simulations, Tomography, Mechanics

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Proceedings Article | 3 November 1992 Paper

Paper

Reconstruction of symmetrical tensor fields by optical tomographic method

Valintin Shakhurdin, Igor Patrikeyev

Proceedings Volume 1843, (1992) https://doi.org/10.1117/12.131898

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Showing 5 of 16 publications

Conference Committee Involvement (2)

Photons Plus Ultrasound: Imaging and Sensing 2008: The Ninth Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics

20 January 2008 | San Jose, California, United States

Photons Plus Ultrasound: Imaging and Sensing 2007: The Eighth Conference on Biomedical Thermoacoustics, Optoacoustics, and Acousto-optics

20 January 2007 | San Jose, California, United States

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