Dr. Alexander A. Zamyatin
Principal Engineer
SPIE Involvement:
Author | Instructor
Publications (15)

Proceedings Article | 4 April 2022 Poster + Paper
Proceedings Volume 12031, 120312J (2022) https://doi.org/10.1117/12.2611575
KEYWORDS: Denoising, 3D image processing, X-ray computed tomography, Data modeling, Computed tomography, Image processing, Signal to noise ratio, RGB color model

Proceedings Article | 9 March 2018 Paper
Alexander Zamyatin, Basak Ulker Karbeyaz, Charles Shaughnessy, David Rozas
Proceedings Volume 10573, 105733L (2018) https://doi.org/10.1117/12.2293862
KEYWORDS: Computed tomography, Reconstruction algorithms, Image restoration, Scanners, Collimation, Heart, CT reconstruction, Temporal resolution, Data acquisition

Proceedings Article | 21 March 2014 Paper
Proceedings Volume 9034, 903426 (2014) https://doi.org/10.1117/12.2043841
KEYWORDS: Image filtering, Computed tomography, Diagnostics, Digital filtering, Anisotropic filtering, Gaussian filters, Image processing, Image quality standards, Medical research, Image denoising

Proceedings Article | 19 March 2014 Paper
Proceedings Volume 9033, 90332Y (2014) https://doi.org/10.1117/12.2043876
KEYWORDS: Denoising, Image processing, Optical filters, Digital filtering, Image resolution, X-rays, Gaussian filters, Image quality, Image filtering, Finite impulse response filters

Proceedings Article | 19 March 2014 Paper
Proceedings Volume 9033, 903304 (2014) https://doi.org/10.1117/12.2043492
KEYWORDS: Motion estimation, Arteries, Heart, Image registration, Beam propagation method, Computed tomography, Medical imaging, Visualization, Temporal resolution, Motion analysis

Showing 5 of 15 publications
Course Instructor
SC939: Exact Cone Beam Reconstruction: Theory and Practice
This course provides attendees with basic working knowledge of the fundamentals of exact image reconstruction in cone beam CT. The course starts with the general theory, then we discuss various approaches to obtaining inversion formulae, and then we consider specific trajectories, such as helical and circle plus a curve. We include a discussion of implementation techniques, analysis of detector requirements and data usage. We will also discuss image quality of exact Katsevich-type (shift-invariant filtered-backprojection structure) reconstruction. Course outline: • Foundations of three-dimensional image reconstruction theory in computed tomography - Radon transform, cone beam transform, Grangeat's formula • General reconstruction scheme - intersections of the source trajectory with Radon planes, weight function n, inversion of the cone beam transform • Approaches to obtaining reconstruction formulae, including the Zou-Pan approach - Reconstruction on chords; Gelfand-Graev formula; Pack-Noo approach - Reconstruction on M-lines; and other approaches • Trajectory-specific choice of the weight function for optimal reconstruction performance, both helical (1-PI, 3-PI, and Fractional-PI) and generalized circle-plus trajectories (open circle + line, and closed circle + curve) • Implementation details including filtering lines rebinning and detector requirements • Image quality
  • View contact details

Is this your profile? Update it now.
Don’t have a profile and want one?

Back to Top