Title :
Regularization for functional MRI models
Author :
Solo, V. ; Purdon, P. ; Brown, E. ; Weisskoff, R.
Author_Institution :
Dept. of Stat., Macquarie Univ., North Ryde, NSW, Australia
Abstract :
The authors consider spatio-temporal modelling of functional MRI data from an inverse problems point of view. Most of the modelling to date has been on a pixel by pixel basis with no acknowledgment given to spatial smoothness when it exists. The authors discuss regularization methods that address that issue and illustrate their results with experimental data
Keywords :
biomedical MRI; brain models; inverse problems; experimental data; functional MRI models; magnetic resonance imaging; medical diagnostic imaging; pixel by pixel basis; regularization methods; spatial smoothness; Additive noise; Blood; Brain; Delay; Fluctuations; Hemodynamics; High-resolution imaging; Magnetic resonance imaging; Nuclear magnetic resonance; Statistics;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723596
