F-sim: A quasi-realistic fMRI simulation toolbox using digital brain phantom and modeled noise

Harshit S. Parmar, Xiangyu Liu, Hua Xie, Brian Nutter, Sunanda Mitra, Rodney Long, Sameer Antani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Functional Magnetic Resonance Imaging (fMRI) uses a noninvasive technique to study the functionality of the human brain by measuring the Blood Oxygenation Level Dependent (BOLD) signal and has been researched for decades. However, some potential problems still remain in achieving correct interpretation of BOLD-induced signals due to quite low signal levels, high noise levels, artifacts, lack of ground truth and a number of other inherent problems. We present here the development of a MATLAB based fMRI simulator (f-Sim) using digital phantom brain that generates quasi-realistic 4D fMRI volumes including modeled noise. Such 4D fMRI data can serve to hypothesize ground truth for experimentally acquired data under both task-evoked and resting state designs in investigation of localized or whole brain activation and functional connectivity patterns.

Original languageEnglish
Title of host publication2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages37-40
Number of pages4
ISBN (Electronic)9781538665688
DOIs
StatePublished - Sep 21 2018
Event2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Las Vegas, United States
Duration: Apr 8 2018Apr 10 2018

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2018-April

Conference

Conference2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018
CountryUnited States
CityLas Vegas
Period04/8/1804/10/18

Keywords

  • MATLAB toolbox
  • component
  • digital phantom brain
  • f-Sim
  • fMRI simulator
  • functional connectivity patterns
  • localized/whole brain activation
  • modeled noise

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    Parmar, H. S., Liu, X., Xie, H., Nutter, B., Mitra, S., Long, R., & Antani, S. (2018). F-sim: A quasi-realistic fMRI simulation toolbox using digital brain phantom and modeled noise. In 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2018 - Proceedings (pp. 37-40). [8470346] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSIAI.2018.8470346