A (μ + λ) evolutionary algorithm for reconstruction of SPECT data

Autor(en)

Peter Knoll, Bob Kenny, Siroos Mirzaei, Karl Koriska, Horst Köhn, Martin Neumann

Abstrakt

Algorithms used to reconstruct single photon emission computed tomography (SPECT) data are based on one of two principles: filtered back projection or iterative methods. In this paper, an evolution strategy (ES) was applied to reconstruct transaxial slices of SPECT data. Evolutionary algorithms are stochastic global search methods that have been used successfully for many kinds of optimization problems. The newly developed reconstruction algorithm consisting of œ parents and ? children uses a random principle to readjust the voxel values, whereas other iterative reconstruction methods use the difference between measured and simulated projection data. The (œ + ?)-ES was validated against a test image, a heart, and a Jaszczak phantom. The resulting transaxial slices show an improvement in image quality, in comparison to both the filtered back projection method and a standard iterative reconstruction algorithm.

Organisation(en)

Computergestützte Physik und Physik der Weichen Materie

Externe Organisation(en)

Wilhelminenspital

Journal

IEEE Transactions on Evolutionary Computation

Band

6

Seiten

533-541

Anzahl der Seiten

9

ISSN

1089-778X

DOI

https://doi.org/10.1109/TEVC.2002.806743

Publikationsdatum

2002

Peer-reviewed

Ja

ÖFOS 2012

1030 Physik, Astronomie

Link zum Portal

https://ucrisportal.univie.ac.at/de/publications/756337e2-ea41-4ad3-a3d2-b6d22b2ff943