Statistical approach to inverse problems in emission tomography with Poisson data

N. Denisova, P. Ruzankin, Y. Lim

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

Abstract

In this work, we suggest and discuss several new algorithms for iterative image reconstruction in emission tomography. The new iterative formulas allow varying the rate of convergence and image corruption by adjusting the parameters of the algorithms.

Original languageEnglish
Title of host publicationInternational Conference on the Methods of Aerophysical Research, ICMAR 2020
EditorsVasily M. Fomin, Alexander Shiplyuk
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735440999
DOIs
Publication statusPublished - 24 May 2021
Event20th International Conference on the Methods of Aerophysical Research, ICMAR 2020 - Akademgorodok, Novosibirsk, Russian Federation
Duration: 1 Nov 20207 Nov 2020

Publication series

NameAIP Conference Proceedings
Volume2351
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference20th International Conference on the Methods of Aerophysical Research, ICMAR 2020
CountryRussian Federation
CityAkademgorodok, Novosibirsk
Period01.11.202007.11.2020

OECD FOS+WOS

  • 1.03 PHYSICAL SCIENCES AND ASTRONOMY

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