Holger Scherl introduces the reader to the reconstruction problem in computed tomography and its major scientific challenges that range from computational efficiency to the fulfillment of Tuy's sufficiency condition. The assessed hardware architectures include multi- and many-core systems, cell broadband engine architecture, graphics processing units, and field programmable gate arrays
Abstract Background For cone-b...
Currently, 3D cone-beam CT image reconstruction speed is still a severe limitation for clinical appl...
The Katsevich image reconstruction algorithm is the rst theoret-ically exact cone beam image reconst...
Fast 3D cone-beam CT reconstruction is required by many application fields like medical CT imaging o...
Cone-Beam Computed Tomography (CBCT) is an imaging method that reconstructs a 3D representation of t...
163 p.Computed Tomography (CT) is a powerful technique for producing 2D cross-sectional images of an...
Abstract Background With the introduction of Flat Panel Detector technology, cone-beam CT (CBCT) has...
The computational effort of 3D image reconstruction in Computed Tomography (CT) has required special...
For many years the FDK algorithm has been the standard algorithm for the reconstruction of projectio...
Expensive computational cost is a severe limitation in CT reconstruction for clinical applications t...
Tomographic image reconstruction is computationally very demanding. In all cases the backprojection ...
Abstract Background Standard cone-beam computed tomography (CBCT) involves the acquisition of at lea...
Abstract: In CBCT, image reconstruction is difficult to meet the requirements of the user real-time ...
This thesis describes the development of an ultrafast computed tomography (CT) reconstruction engin...
The goal of this work is to develop a fast computed tomography (CT) reconstruction algorithm based o...
Abstract Background For cone-b...
Currently, 3D cone-beam CT image reconstruction speed is still a severe limitation for clinical appl...
The Katsevich image reconstruction algorithm is the rst theoret-ically exact cone beam image reconst...
Fast 3D cone-beam CT reconstruction is required by many application fields like medical CT imaging o...
Cone-Beam Computed Tomography (CBCT) is an imaging method that reconstructs a 3D representation of t...
163 p.Computed Tomography (CT) is a powerful technique for producing 2D cross-sectional images of an...
Abstract Background With the introduction of Flat Panel Detector technology, cone-beam CT (CBCT) has...
The computational effort of 3D image reconstruction in Computed Tomography (CT) has required special...
For many years the FDK algorithm has been the standard algorithm for the reconstruction of projectio...
Expensive computational cost is a severe limitation in CT reconstruction for clinical applications t...
Tomographic image reconstruction is computationally very demanding. In all cases the backprojection ...
Abstract Background Standard cone-beam computed tomography (CBCT) involves the acquisition of at lea...
Abstract: In CBCT, image reconstruction is difficult to meet the requirements of the user real-time ...
This thesis describes the development of an ultrafast computed tomography (CT) reconstruction engin...
The goal of this work is to develop a fast computed tomography (CT) reconstruction algorithm based o...
Abstract Background For cone-b...
Currently, 3D cone-beam CT image reconstruction speed is still a severe limitation for clinical appl...
The Katsevich image reconstruction algorithm is the rst theoret-ically exact cone beam image reconst...