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Dynamic simulation of FDG-PET image based on VHP datasets

  • Tsinghua University

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

Abstract

The FDG-PET is an important imaging tool for early diagnosis and treatment of malignant tumor and functional disease. The main purpose of this work is to propose a method for simulation of dynamic FDG-PET images based on VHP datasets. First the tissue time-activity curves (TTAC) are simulated using compartment model with blood time-activity curve (BTAC), and then the noises of each voxel are estimated according to the activity countering and the scan duration. At last according to the obtained BTAC and TTACs, a set of corresponding values are assigned to the segmented VHP image together with the independent Gaussian noise respectively. Series dynamic FDG-PET images were simulated respectively for normal physiology and pathology. The results of this work may provide a novel simulation platform for the research of PET image processing.

Original languageEnglish
Title of host publication2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011
Pages154-158
Number of pages5
DOIs
StatePublished - 2011
Event2011 5th IEEE/ICME International Conference on Complex Medical Engineering, CME 2011 - Harbin, China
Duration: 22 May 201125 May 2011

Publication series

Name2011 IEEE/ICME International Conference on Complex Medical Engineering, CME 2011

Conference

Conference2011 5th IEEE/ICME International Conference on Complex Medical Engineering, CME 2011
Country/TerritoryChina
CityHarbin
Period22/05/1125/05/11

Keywords

  • FDG
  • PET
  • VHP
  • simulation image

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