Paper Info
Title
f-Sim: A quasi-realistic fMRI simulation toolbox using digital brain phantom and modeled noise
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.
Year
DOI
Venue
2018
10.1109/SSIAI.2018.8470346
2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Keywords
Field
DocType
component,fMRI simulator,digital phantom brain,modeled noise,MATLAB toolbox,f-Sim,localized/whole brain activation,functional connectivity patterns
Computer vision,MATLAB,Pattern recognition,Functional magnetic resonance imaging,Computer science,Toolbox,Resting state fMRI,Imaging phantom,Human brain,Ground truth,Solid modeling,Artificial intelligence
Conference
ISSN
ISBN
Citations 
1550-5782
978-1-5386-6569-5
0
PageRank 
References 
Authors
0.34
7
7
Name
Order
Citations
PageRank
Harshit S. Parmar111.08
Xiangyu Liu25114.10
Hua Xie323517.15
Brian Nutter410120.24
Sunanda Mitra525445.17
L. Rodney Long653456.98
Sameer Antani71402134.03