Dr. Konstantin M. Pavlov Profile

Dr. Konstantin M. Pavlov

at Univ of Canterbury

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Author

Publications (7)

Proceedings Article | 14 October 2022 Poster + Paper

Shallow U-Net deep learning approach for phase retrieval in propagation-based phase-contrast Imaging

Samuel Li, Matthew French, Konstantin Pavlov, Heyang Thomas Li

Proceedings Volume 12242, 122421Q (2022) https://doi.org/10.1117/12.2644579

KEYWORDS: X-rays, Phase retrieval, X-ray imaging, Phase contrast, X-ray computed tomography, Neural networks, Data modeling, Visualization, Inverse problems, Machine learning

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SPIE Journal Paper | 7 February 2022

Dark-field tomography of an attenuating object using intrinsic x-ray speckle tracking

Samantha Alloo, David Paganin, Kaye Morgan, Marcus Kitchen, Andrew Stevenson, Sheridan Mayo, Heyang Li, Ben Kennedy, Anton Maksimenko, Joshua Bowden, Konstantin Pavlov

JMI, Vol. 9, Issue 03, 031502, (February 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.3.031502

KEYWORDS: X-rays, Speckle, X-ray imaging, Tomography, Signal attenuation, Sensors, Fluctuations and noise, Scattering, Inverse problems, Statistical modeling

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Proceedings Article | 9 September 2021 Presentation + Paper

Speckle-based x-ray dark-field tomography of an attenuating object

S. Alloo, D. Paganin, K. Morgan, M. Kitchen, A. Stevenson, S. Mayo, H. Li, B. Kennedy, A. Maksimenko, J. Bowden, K. Pavlov

Proceedings Volume 11840, 118400G (2021) https://doi.org/10.1117/12.2597722

KEYWORDS: X-rays, X-ray imaging, Signal attenuation, Speckle, Scattering, Fluctuations and noise, Tomography, Inverse problems, CT reconstruction, Phase contrast

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SPIE Journal Paper | 12 July 2021

Effect of x-ray energy on the radiological image quality in propagation-based phase-contrast computed tomography of the breast

Sarina Wan, Benedicta Arhatari, Yakov Nesterets, Sheridan Mayo, Darren Thompson, Jane Fox, Beena Kumar, Zdenka Prodanovic, Daniel Hausermann, Anton Maksimenko, Christopher Hall, Matthew Dimmock, Konstantin Pavlov, Darren Lockie, Mary Rickard, Ziba Gandomkar, Alaleh Alaleh, Elham Vafa, Andrew Peele, Harry Quiney, Sarah Lewis, Timur Gureyev, Patrick Brennan, Seyedamir Tavakoli Taba

JMI, Vol. 8, Issue 05, 052108, (July 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.5.052108

KEYWORDS: Image quality, X-rays, X-ray imaging, Breast, Sensors, Breast cancer, Tissues, Radio propagation, X-ray detectors, X-ray computed tomography

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Purpose: Breast cancer is the most common cancer in women in developing and developed countries and is responsible for 15% of women’s cancer deaths worldwide. Conventional absorption-based breast imaging techniques lack sufficient contrast for comprehensive diagnosis. Propagation-based phase-contrast computed tomography (PB-CT) is a developing technique that exploits a more contrast-sensitive property of x-rays: x-ray refraction. X-ray absorption, refraction, and contrast-to-noise in the corresponding images depend on the x-ray energy used, for the same/fixed radiation dose. The aim of this paper is to explore the relationship between x-ray energy and radiological image quality in PB-CT imaging. Approach: Thirty-nine mastectomy samples were scanned at the imaging and medical beamline at the Australian Synchrotron. Samples were scanned at various x-ray energies of 26, 28, 30, 32, 34, and 60 keV using a Hamamatsu Flat Panel detector at the same object-to-detector distance of 6 m and mean glandular dose of 4 mGy. A total of 132 image sets were produced for analysis. Seven observers rated PB-CT images against absorption-based CT (AB-CT) images of the same samples on a five-point scale. A visual grading characteristics (VGC) study was used to determine the difference in image quality. Results: PB-CT images produced at 28, 30, 32, and 34 keV x-ray energies demonstrated statistically significant higher image quality than reference AB-CT images. The optimum x-ray energy, 30 keV, displayed the largest area under the curve ( AUCVGC ) of 0.754 (p = 0.009). This was followed by 32 keV (AUCVGC = 0.731, p ≤ 0.001), 34 keV (AUCVGC = 0.723, p ≤ 0.001), and 28 keV (AUCVGC = 0.654, p = 0.015). Conclusions: An optimum energy range (around 30 keV) in the PB-CT technique allows for higher image quality at a dose comparable to conventional mammographic techniques. This results in improved radiological image quality compared with conventional techniques, which may ultimately lead to higher diagnostic efficacy and a reduction in breast cancer mortalities.

Proceedings Article | 22 May 2020 Paper

Comparison of propagation-based phase-contrast CT and absorption-based CT for breast imaging using synchrotron radiation

Seyedamir Tavakoli Taba, Sarah Lewis, Patrycja Baran, Benedicta Arhatari, Yakov Nesterets, Sheridan Mayo, Darren Thompson, Jane Fox, Beena Kumar, Zdenka Prodanovic, Daniel Hausermann, Anton Maksimenko, Christopher Hall, Matthew Dimmock, Konstantin Pavlov, Andrew Peele, Harry Quiney, Darren Lockie, Giuliana Tromba, Timur Gureyev, Patrick Brennan

Proceedings Volume 11513, 115130T (2020) https://doi.org/10.1117/12.2564053

KEYWORDS: Phase contrast, Image quality, Breast, X-ray computed tomography, X-rays, Tissues, Synchrotrons, Visualization, Breast imaging, Synchrotron radiation, X-ray imaging

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Proceedings Article | 7 September 2006 Paper

Stability and locality of amplitude and phase contrast tomographies

Timur Gureyev, Glenn Myers, Yakov Nesterets, David Paganin, Konstantin Pavlov, Stephen Wilkins

Proceedings Volume 6318, 63180V (2006) https://doi.org/10.1117/12.680185

KEYWORDS: Refractive index, CT reconstruction, Crystals, Absorption, Phase contrast, X-rays, Tomography, Phase transfer function, Diffraction, X-ray computed tomography

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Proceedings Article | 1 September 1995 Paper

InAs/GaSb superlattices characterized by high-resolution x-ray diffraction and infrared optical spectroscopy

Frank Fuchs, N. Herres, J. Schmitz, K. Pavlov, Joachim Wagner, Peter Koidl, J. Roslund

Proceedings Volume 2554, (1995) https://doi.org/10.1117/12.218204

KEYWORDS: Stereolithography, Gallium antimonide, Indium arsenide, Laser sintering, Iterated function systems, Interfaces, X-rays, Superlattices, X-ray diffraction, Gallium arsenide

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