In this paper, using Defrise Phantoms, we present our investigations of the axial limitations of an analytical cone-beam reconstruction algorithm (FDK), and the iterative ordered-subset transmission reconstruction (OSTR) iterative algorithm, for an axially extended version of the Philips Brightview XCT cone beam CT (CBCT) geometry. Simulations were preformed for head size and body size Defrise Phantoms of different axial dimensions to investigate limitations on axial extent as a function of these. OSTR yielded overall better axial performance than FDK. It may be possible to reconstruct a larger axial extent for brain studies; however, patients with larger body sizes pose more of a problem. © 2010 IEEE
The accurate volumetric calculation of moving targets/organs is required to use cone-beam computed t...
Previously the Orthogonal Polynomial Expansion on the Disk (OPED) algorithm was presented. Further, ...
163 p.Computed Tomography (CT) is a powerful technique for producing 2D cross-sectional images of an...
Cone-beam transmission imaging employing medium-energy photons which penetrate parallel-hole collima...
articleInternational audienceCone-beam (CB) acquisition is increasingly used for truly three-dimensi...
Cone-beam (CB) acquisition is increasingly used for truly three-dimensional X-ray computerized tomog...
International audienceBackground: Robotic C‐arm cone‐beam computed tomography (CBCT) scanners provid...
We investigated the performance of an ordered-subsets expectation- maximization (OSEM) algorithm for...
a highly investigated field, nowadays. Both analytical and iterative methods for tomographic reconst...
International audiencePurpose:A new cone-beam CT scanner for image-guided radiotherapy (IGRT) can in...
As a noninvasive molecular imaging technique, Single Photon Emission Computed Tomography (SPECT) p...
The combination-weighted Feldkamp algorithm (CW-FDK) was developed and tested in a phantom in order ...
PURPOSE:: We have quantitatively evaluated the image quality of a new commercially available iterati...
We implemented a fully-3D ordered-subsets expectation-maximization (OSEM) algorithm with attenuation...
Purpose: Cone-beam computed tomography (CBCT) is increasingly utilized in radiation therapy for imag...
The accurate volumetric calculation of moving targets/organs is required to use cone-beam computed t...
Previously the Orthogonal Polynomial Expansion on the Disk (OPED) algorithm was presented. Further, ...
163 p.Computed Tomography (CT) is a powerful technique for producing 2D cross-sectional images of an...
Cone-beam transmission imaging employing medium-energy photons which penetrate parallel-hole collima...
articleInternational audienceCone-beam (CB) acquisition is increasingly used for truly three-dimensi...
Cone-beam (CB) acquisition is increasingly used for truly three-dimensional X-ray computerized tomog...
International audienceBackground: Robotic C‐arm cone‐beam computed tomography (CBCT) scanners provid...
We investigated the performance of an ordered-subsets expectation- maximization (OSEM) algorithm for...
a highly investigated field, nowadays. Both analytical and iterative methods for tomographic reconst...
International audiencePurpose:A new cone-beam CT scanner for image-guided radiotherapy (IGRT) can in...
As a noninvasive molecular imaging technique, Single Photon Emission Computed Tomography (SPECT) p...
The combination-weighted Feldkamp algorithm (CW-FDK) was developed and tested in a phantom in order ...
PURPOSE:: We have quantitatively evaluated the image quality of a new commercially available iterati...
We implemented a fully-3D ordered-subsets expectation-maximization (OSEM) algorithm with attenuation...
Purpose: Cone-beam computed tomography (CBCT) is increasingly utilized in radiation therapy for imag...
The accurate volumetric calculation of moving targets/organs is required to use cone-beam computed t...
Previously the Orthogonal Polynomial Expansion on the Disk (OPED) algorithm was presented. Further, ...
163 p.Computed Tomography (CT) is a powerful technique for producing 2D cross-sectional images of an...