Dr. Alexander A. Zamyatin
Principal Engineer at
SPIE Involvement:
Senior status | Author | Instructor
Publications (14)

PROCEEDINGS ARTICLE | March 9, 2018
Proc. SPIE. 10573, Medical Imaging 2018: Physics of Medical Imaging
KEYWORDS: CT reconstruction, Scanners, Image restoration, Heart, Data acquisition, Temporal resolution, Collimation, Computed tomography, Reconstruction algorithms

PROCEEDINGS ARTICLE | March 21, 2014
Proc. SPIE. 9034, Medical Imaging 2014: Image Processing
KEYWORDS: Anisotropic filtering, Image processing, Digital filtering, Medical research, Diagnostics, Gaussian filters, Image filtering, Computed tomography, Image denoising, Image quality standards

PROCEEDINGS ARTICLE | March 19, 2014
Proc. SPIE. 9033, Medical Imaging 2014: Physics of Medical Imaging
KEYWORDS: Radon, X-ray computed tomography, Arteries, Image registration, Image quality, Computed tomography, Reconstruction algorithms, Motion models, Tolerancing, Motion estimation

PROCEEDINGS ARTICLE | March 19, 2014
Proc. SPIE. 9033, Medical Imaging 2014: Physics of Medical Imaging
KEYWORDS: Visualization, Heart, Arteries, Image registration, Medical imaging, Temporal resolution, Computed tomography, Motion analysis, Beam propagation method, Motion estimation

PROCEEDINGS ARTICLE | March 19, 2014
Proc. SPIE. 9033, Medical Imaging 2014: Physics of Medical Imaging
KEYWORDS: Optical filters, Image processing, Digital filtering, Denoising, X-rays, Image resolution, Finite impulse response filters, Image quality, Gaussian filters, Image filtering

PROCEEDINGS ARTICLE | March 19, 2013
Proc. SPIE. 8668, Medical Imaging 2013: Physics of Medical Imaging
KEYWORDS: CT reconstruction, Sensors, Signal attenuation, Medical research, Distortion, Medical imaging, Raster graphics, Reconstruction algorithms, Motion models, Motion estimation

Showing 5 of 14 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
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