umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The influence of time sampling scheme on kinetic parameters obtained from compartmental modeling of a dynamic PET study: a Monte Carlo study
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Show others and affiliations
2012 (English)In: IEEE Nuclear Science Symposium Conference Record / [ed] B. Yu, Anaheim: IEEE conference proceedings, 2012, 3101-3107 p.Conference paper, Published paper (Refereed)
Abstract [en]

Compartmental modeling of dynamic PET data enables quantification of tracer kinetics in vivo, through the obtained model parameters. The dynamic data is sorted into frames during or after the acquisition, with a sampling interval usually ranging from 10 s to 300 s. In this study we wanted to investigate the effect of the chosen sampling interval on kinetic parameters obtained from a 2-tissue model, in terms of bias and standard deviation, using a complete Monte Carlo simulated dynamic F-18-FLT PET study. The results show that the bias and standard deviation in parameter K-1 is small regardless of sampling scheme or noise in the time-activity curves (TACs), and that the bias and standard deviation in k(4) is large for all cases. The bias in V-a is clearly dependent on sampling scheme, increasing for increased sampling interval. In general, a too short sampling interval results in very noisy images and a large bias of the parameter estimate, and a too long sampling interval also increases bias. Noise in the TACs is the largest source of bias.

Place, publisher, year, edition, pages
Anaheim: IEEE conference proceedings, 2012. 3101-3107 p.
Series
IEEE Nuclear Science Symposium Conference Record, ISSN 1082-3654
Keyword [en]
PET, dynamic PET, Monte Carlo, GATE, compartment model, time sampling, sampling interval, AIF, FLT
National Category
Medical Image Processing
Research subject
radiofysik
Identifiers
URN: urn:nbn:se:umu:diva-84150DOI: 10.1109/NSSMIC.2012.6551707ISI: 000326814203044ISBN: 978-1-4673-2030-6 (print)OAI: oai:DiVA.org:umu-84150DiVA: diva2:680076
Conference
IEEE Nuclear Science Symposium / Medical Imaging Conference Record (NSS/MIC) / 19th Room-Temperature Semiconductor X-ray and Gamma-ray Detector Workshop, OCT 29-NOV 03, 2012, Anaheim, CA
Funder
Swedish National Infrastructure for Computing (SNIC), HPC2N-2009-001
Available from: 2013-12-17 Created: 2013-12-16 Last updated: 2016-05-25

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Häggström, IdaLarsson, AnneAxelsson, JanGarpebring, AndersJohansson, LennartKarlsson, Mikael
By organisation
Radiation Physics
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 150 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf