International Conference on Acoustics, Speech, and Signal Processing · 2003 · 24 citations · 1 references
Veterinary MedicineBiomedical EngineeringRadiologyDiagnostic ImagingDiagnostic RadiologyDigital Imaging3D ReconstructionComputed TomographyComputed Tomography PhysicsImage ReconstructionMedical ImagingThree-dimensional ReconstructionBackprojectionComputed Tomography ReconstructionComputer TomographyCt Image ReconstructionOptimal InterpolationReconstruction AlgorithmsThree-dimensional TomographyTomographic Reconstruction
A data acquisition scheme combining the axial translation of the object with rotation of the imaging gantry is introduced for three-dimensional computerized tomography (CT), and a reconstruction algorithm for its implementation is explored. A computationally attractive interpolation scheme that converts the data to standard CT format and permits reconstruction by existing algorithms is proposed. The approach is to convert by interpolation the helical-scan projection data into standard planar scan format and then use a standard 2-D reconstruction technique, such as convolution backprojection, on each slice. Optimum interpolation coefficients are derived, minimizing a worst case normalized maximum error magnitude criterion. The theoretical predictions are illustrated by simulation results.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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