Title :
Parallel implementation of cone beam tomography
Author :
Reimann, David A. ; Chaudhary, Vipin ; Flynn, Michael J. ; Sethi, Ishwar K.
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
Abstract :
Three dimensional computed tomography is a computationally intensive procedure, requiring large amounts of RAM and processing power. Parallel methods for two dimensional computed tomography have been studied, but not extended or applied to 3D cone beam tomography. A discussion on how the 3D cone beam tomography problem can be implemented in parallel using MPI is given. We show an improvement in performance from 58.2% to 81.8% processor utilization in a heterogeneous cluster of workstations by load balancing. A 96.8% efficiency was seen using a 2 processor SMP
Keywords :
computerised tomography; image reconstruction; parallel algorithms; 3D cone beam tomography; MPI; computed tomography; cone beam tomography; load balancing; parallel implementation; Computed tomography; Concurrent computing; Detectors; Geometry; Image reconstruction; Power engineering computing; Radiology; Read-write memory; Reconstruction algorithms; X-ray imaging;
Conference_Titel :
Parallel Processing, 1996. Vol.3. Software., Proceedings of the 1996 International Conference on
Conference_Location :
Ithaca, NY
Print_ISBN :
0-8186-7623-X
DOI :
10.1109/ICPP.1996.537397
