Probabilistic modeling of single-trial fMRI data

Svensen, M.; Kruggel, F.; von Cramon, D. Yves

doi:10.1109/42.832957

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Probabilistic modeling of single-trial fMRI data

Svensen, M., Kruggel, F., & von Cramon, D. Y. (2000). Probabilistic modeling of single-trial fMRI data. IEEE Transactions on Medical Imaging, 19(1), 25-35. doi:10.1109/42.832957.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-D219-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002C-7DCE-2

Genre: Journal Article

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Creators:
Svensen, M.¹, Author
Kruggel, F.^{1, 2}, Author
von Cramon, D. Yves¹, Author

Affiliations:
1MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634574
2Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634563

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Abstract: This paper describes a probabilistic framework for modeling single-trial functional magnetic resonance (fMR) images based on a parametric model for the hemodynamic response and Markov random field (MRF) image models. The model is fitted to image data by maximizing a lower bound on the log likelihood. The result is an approximate maximum a posteriori estimate of the joint distribution over the model parameters and pixel labels. Examples show how this technique can used to segment two-dimensional (2-D) fMR images, or parts thereof, into regions with different characteristics of their hemodynamic response.

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Language(s): eng - English

Dates: Date issued: 2000

Publication Status: Issued

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Identifiers: eDoc: 239601
ISI: 000086495700003
Other: P6994
DOI: 10.1109/42.832957

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Title: IEEE Transactions on Medical Imaging

Other : IEEE Trans. Med. Imaging

Source Genre: Journal

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Publ. Info: New York, NY : Institute of Electrical and Electronics Engineers

Pages: - Volume / Issue: 19 (1) Sequence Number: - Start / End Page: 25 - 35 Identifier: ISSN: 0278-0062
CoNE: https://pure.mpg.de/cone/journals/resource/954925505280