A signal estimation approach to functional MRI.
In the last half decade, fast methods of magnetic resonance imaging have led to the possibility, for the first time, of non-invasive dynamic brain imaging. This has led to an explosion of work in the Neurosciences. From a signal processing viewpoint the problems are those of nonlinear spatio-temporal system identification. In this paper, we develop new methods of identification using novel spatial regularization. We also develop a new model comparison technique and use that to compare our method with existing techniques on some experimental data.
Solo
V
V
School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia.
Purdon
P
P
Weisskoff
R
R
Brown
E
E
D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D012815:Signal Processing, Computer-Assisted