Title :
Accelerating X-Ray Data Collection Using Pyramid Beam Ray Casting Geometries
Author :
Averbuch, Amir ; Lifschitz, Guy ; Shkolnisky, Yoel
Author_Institution :
Sch. of Comput. Sci., Tel Aviv Univ., Tel Aviv, Israel
Abstract :
Image reconstruction from its projections is a necessity in many applications such as medical (CT), security, inspection, and others. This paper extends the 2-D Fan-beam method in to 3-D. The algorithm, called Pyramid Beam (PB), is based upon the parallel reconstruction algorithm in . It allows fast capturing of the scanned data, and in 3-D, the reconstructions are based upon the discrete X-ray transform . The PB geometries are reordered to fit parallel projection geometry. The underlying idea is to use the algorithm in by porting the proposed PB geometries to fit the algorithm in . The complexity of the algorithm is comparable with the 3-D FFT. The results show excellent reconstruction qualities while being simple for practical use.
Keywords :
computerised tomography; discrete transforms; fast Fourier transforms; image reconstruction; 3D FFT; X-ray data collection; discrete X-ray transform; image reconstruction; parallel reconstruction algorithm; pyramid beam ray casting geometries; Acceleration; Biomedical imaging; Casting; Computed tomography; Data security; Geometry; Image reconstruction; Inspection; Particle beams; X-ray imaging; Computerized tomography; X-Ray tomography; Algorithms; Fourier Analysis; Imaging, Three-Dimensional; Phantoms, Imaging; Radiographic Image Enhancement; Tomography, X-Ray Computed;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2010.2064328