Dr. Alexander I. Katsevich
Professor at Univ of Central Florida
SPIE Involvement:
Author | Instructor
Publications (12)

Proceedings Article | 28 May 2019 Paper
Proc. SPIE. 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
KEYWORDS: X-ray computed tomography, Detection and tracking algorithms, Sensors, Scanners, Image quality, Integration, Computed tomography, Reconstruction algorithms, Visibility

Proceedings Article | 28 May 2019 Paper
Proc. SPIE. 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
KEYWORDS: Chest, Detection and tracking algorithms, Imaging systems, Abdomen, Image quality, Optical flow, Computed tomography, Reconstruction algorithms, Motion estimation

Proceedings Article | 28 May 2019 Paper
Proc. SPIE. 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
KEYWORDS: Detection and tracking algorithms, CT reconstruction, Scanners, Digital filtering, Data acquisition, Image quality, Reconstruction algorithms, Algorithms

Proceedings Article | 14 May 2019 Presentation
Proc. SPIE. 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV
KEYWORDS: Diffraction, Real time imaging, X-ray computed tomography, Imaging systems, X-rays, X-ray diffraction, Medical imaging, Tomography, Image filtering, Reconstruction algorithms

Proceedings Article | 19 March 2014 Paper
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

Showing 5 of 12 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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