Title :
Compression of a Monte-Carlo based system matrix for iterative reconstruction of PET images
Author :
Rehfeld, Niklas ; Alber, Markus ; Fippel, Matthias ; Nüsslin, Fridtjof
Abstract :
Modern human PET-scanners often have high scatter fractions due to the lack of septa. This work treats the scatter in a straight forward manner by calculating the system matrix elements directly with Monte-Carlo (MC) methods. A parametric compression method was used to scale down memory consumption. The resulting images (reconstructed with either the compressed or with the uncompressed MC-matrix) were compared.
Keywords :
Monte Carlo methods; image coding; image reconstruction; iterative methods; matrix algebra; medical image processing; positron emission tomography; Monte-Carlo method; iterative image reconstruction; modern human PET-scanner; parametric compression method; positron emission tomography; system matrix element; Computational modeling; Detectors; Electromagnetic scattering; Humans; Image coding; Image reconstruction; Monte Carlo methods; Particle scattering; Positron emission tomography; Statistics;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
Print_ISBN :
0-7803-8700-7
Electronic_ISBN :
1082-3654
DOI :
10.1109/NSSMIC.2004.1466741
