Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 : Third International Conference Pittsburgh, PA, USA, October 11-14, 2000 Proceedings

Lingua: inglese

Editore: Springer, 2000

3540411895 / 9783540411895

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - In previous work [6], we presented a novel information theoretic approach for calculating fMRI activation maps. The information-theoretic approach is - pealing in that it is a principled methodology requiring few assumptions about the structure of the fMRI signal. In that approach, activation was quanti ed by measuring the mutual information (MI) between the protocol signal and the fMRI time-series at a givenvoxel.This measureis capable of detecting unknown nonlinear and higher-order statistical dependencies. Furthermore, it is relatively straightforward to implement. In practice,activation decisions at eachvoxelareindependent of neighboring voxels. Spurious responses are then removed by ad hoc techniques (e.g. morp- logicaloperators).Inthispaper,wedescribeanautomaticmaximumaposteriori (MAP) detection method where the well-known Ising model is used as a spatial prior.The Isingspatialpriordoes not assumethat the time-seriesofneighboring voxelsareindependentofeachother.Furthermore,removalofspuriousresponses is an implicit component of the detection formulation. In order to formulate the calculation of the activation map using this technique we rst demonstrate that the information-theoretic approach has a natural interpretation in the hypo- esis testing framework and that, speci cally, our estimate of MI approximates the log-likelihood ratio of that hypothesis test. Consequently, the MAP det- tion problem using the Ising model can be formulated and solved exactly in polynomial time using the Ford and Fulkerson method [4]. We compare the results of our approach with and without spatial priors to an approachbased on the general linear model (GLM) popularized by Fristonet al [3]. We present results from three fMRI data sets. The data sets test motor, auditory, and visual cortex activation, respectively.…

Codice articolo 9783540411895

Titolo
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000 : Third International Conference Pittsburgh, PA, USA, October 11-14, 2000 Proceedings
Autore
Branislav Jaramaz
Editore
Springer
Anno di pubblicazione
2000
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
3540411895
ISBN 13
9783540411895
Peso dell'articolo
1956 grammi
Dimensioni
235x155x71 mm

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Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
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