Title
Realistic simulated MRI and SPECT databases
Abstract
This paper describes the construction of simulated SPECT and MRI databases that account for realistic anatomical and functional variability. The data is used as a gold-standard to evaluate four SPECT/MRI similarity-based registration methods. Simulation realism was accounted for using accurate physical models of data generation and acquisition. MRI and SPECT simulations were generated from three subjects to take into account inter-subject anatomical variability. Functional SPECT data were computed from six functional models of brain perfusion. Previous models of normal perfusion and ictal perfusion observed in Mesial Temporal Lobe Epilepsy (MTLE) were considered to generate functional variability. We studied the impact noise and intensity non-uniformity in MRI simulations and SPECT scatter correction may have on registration accuracy. We quantified the amount of registration error caused by anatomical and functional variability. Registration involving ictal data was less accurate than registration involving normal data. MR intensity non-uniformity was the main factor decreasing registration accuracy. The proposed simulated database is promising to evaluate many functional neuroimaging methods, involving MRI and SPECT data.
Year
DOI
Venue
2006
10.1007/11866565_41
MICCAI
Keywords
Field
DocType
normal data,spect simulation,realistic simulated mri,ictal data,functional variability,spect data,functional spect data,mri similarity-based registration method,spect scatter correction,data generation,spect databases,registration accuracy,functional neuroimaging,generating function,gold standard,physical model,functional model
Nuclear medicine,Perfusion scanning,Computer vision,Pattern recognition,Computer science,Ictal-Interictal SPECT Analysis by SPM,Functional neuroimaging,Artificial intelligence,Scatter correction,Ictal,Database,Temporal lobe
Conference
ISBN
Citations 
PageRank 
3-540-44707-5
1
0.36
References 
Authors
7
5
Name
Order
Citations
PageRank
Berengere Aubert-Broche116614.12
Christophe Grova217515.99
Anthonin Reilhac3508.20
Alan C. Evans43045574.95
D. Louis Collins53915403.90