Dr. Alexander I. Katsevich
at Univ of Central Florida
SPIE Involvement:
Author | Instructor
Publications (8)

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, 2007
Proc. SPIE. 6510, Medical Imaging 2007: Physics of Medical Imaging
KEYWORDS: Radon, X-ray computed tomography, Detection and tracking algorithms, Sensors, Signal attenuation, Scanners, Medical research, Heart, Computed tomography, Reconstruction algorithms

PROCEEDINGS ARTICLE | April 29, 2005
Proc. SPIE. 5747, Medical Imaging 2005: Image Processing
KEYWORDS: Imaging systems, Sensors, Calibration, Image segmentation, Matrices, Tomography, Data acquisition, Head, Image quality, Reconstruction algorithms

PROCEEDINGS ARTICLE | May 12, 2004
Proc. SPIE. 5370, Medical Imaging 2004: Image Processing
KEYWORDS: Radon, Detection and tracking algorithms, Sensors, Image quality, Image filtering, Computed tomography, Reconstruction algorithms, Modulation transfer functions, Spatial resolution, Algorithm development

PROCEEDINGS ARTICLE | May 15, 2003
Proc. SPIE. 5032, Medical Imaging 2003: Image Processing
KEYWORDS: Radon, Detection and tracking algorithms, Sensors, Image quality, Image filtering, Computed tomography, Reconstruction algorithms, Spatial resolution, 3D image processing, Algorithms

PROCEEDINGS ARTICLE | January 17, 2002
Proc. SPIE. 4480, Imaging Spectrometry VII
KEYWORDS: Sensors, Spectroscopy, Fourier transforms, Data acquisition, Deconvolution, Imaging spectrometry, Spatial resolution, Chemical elements, Space operations, Radiometric resolution

Showing 5 of 8 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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