Name
Title | ||
|---|---|---|
A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages |
Abstract | ||
|---|---|---|
We propose a new signal-detection approach for detecting brain activations from PET or fMRI images in a two-state ("on-off") neuroimaging study. We model the activation pattern as a superposition of an unknown number of circular spatial basis functions of unknown position, size, and amplitude. We determine the number of these functions and their parameters by maximum a posteriori (MAP) estimation. To maximize the posterior distribution we use a reversible jump Markov-chain Monte-Carlo (RJMCMC) algorithm. The main advantage of RJMCMC is that it can estimate parameter vectors of unknown length. Thus, in the model used the number of activation sites does not need to be known. Using a phantom derived from a neuroimaging study, we demonstrate that the proposed method can estimate more accurately the activation pattern from traditional approaches. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICIP.2002.1038922 | Image Processing. 2002. Proceedings. 2002 International Conference |
Keywords | Field | DocType |
Markov processes,Monte Carlo methods,biomedical MRI,brain,maximum likelihood estimation,medical image processing,positron emission tomography,MAP estimation,PET,RJMCMC algorithm,activation pattern,brain activations,circular spatial basis functions,fMRI images,functional neuroimages,maximum a posteriori estimation,on-off neuroimaging study,parameter vectors,phantom,posterior distribution,reversible jump Markov chain Monte Carlo algorithm,signal-detection approach,two-state neuroimaging study | Monte Carlo method,Markov process,Algorithm design,Pattern recognition,Computer science,Reversible-jump Markov chain Monte Carlo,Algorithm,Posterior probability,Basis function,Artificial intelligence,Maximum a posteriori estimation,Jump | Conference |
Volume | ISSN | Citations |
3 | 1522-4880 | 2 |
PageRank | References | Authors |
0.46 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ana S. Lukic | 1 | 51 | 6.32 |
| Miles N. Wernick | 2 | 595 | 61.13 |
| Nikolas P. Galatsanos | 3 | 632 | 52.16 |
| Yongyi Yang | 4 | 1409 | 140.74 |
| Stephen C. Strother | 5 | 399 | 56.31 |