Image reconstruction in reduced circular sinusoidal cone-beam CT

Fast cone-beam CT image reconstruction using GPU hardware

Three dimension Computed Tomography (CT) reconstruction is computationally demanding. To accelerate the speed of reconstruction, Application Specific Integrated Circuit (ASIC) or Field Programmable Gate Array (FPGA) has been used, but they are expensive, inflexible and not easy to upgrade. The modern Graphics Processing Unit (GPU) with its programmable features improves this situation and becom...

Common Image Artifacts in Cone Beam CT

ART for helical cone-beam CT reconstruction

We report on our first results on the use of Algebraic Reconstruction Techniques (ART) on helical cone-beam Computerized Tomography (CT) data. Two variants of ART have been implemented: a standard one which considers a single ray in an iterative step and a block version which groups several conebeam projections in calculating an iterative update. Both seem to produce high-quality reconstruction...

Exact Interior Reconstruction with Cone-Beam CT

Using the backprojection filtration (BPF) and filtered backprojection (FBP) approaches, respectively, we prove that with cone-beam CT the interior problem can be exactly solved by analytic continuation. The prior knowledge we assume is that a volume of interest (VOI) in an object to be reconstructed is known in a subregion of the VOI. Our derivations are based on the so-called generalized PI-se...

Cone-beam and fan-beam image reconstruction algorithms based on spherical and circular harmonics.

A cone-beam image reconstruction algorithm using spherical harmonic expansions is proposed. The reconstruction algorithm is in the form of a summation of inner products of two discrete arrays of spherical harmonic expansion coefficients at each cone-beam point of acquisition. This form is different from the common filtered backprojection algorithm and the direct Fourier reconstruction algorithm...