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Sinopsis
The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag’s ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well.
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The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag’s ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well.
Biografía del autor
He received his Masters degree from Anna University, India and obtained his Ph.D degree from VIT University, India.He has around 15 years of teaching experience with around 8 years of research experience. Presently he is working as a Head, Department of Instrumentation, School of Electrical Engineering, VIT University, Vellore, India.
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Analysis of Functional MRI Data using Clustering Algorithm
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LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659687731
ISBN 13: 9783659687730
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag's ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well. 68 pp. Englisch. Nº de ref. del artículo: 9783659687730
Cantidad disponible: 2 disponibles
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Analysis of Functional MRI Data using Clustering Algorithm
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659687731
ISBN 13: 9783659687730
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag's ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well. Nº de ref. del artículo: 9783659687730
Cantidad disponible: 1 disponibles
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Analysis of Functional MRI Data using Clustering Algorithm
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659687731
ISBN 13: 9783659687730
Nuevo
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Librería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Babu N RameshHe received his Masters degree from Anna University, India and obtained his Ph.D degree from VIT University, India.He has around 15 years of teaching experience with around 8 years of research experience. Presently he is. Nº de ref. del artículo: 158597515
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Analysis of Functional MRI Data using Clustering Algorithm
Publicado por
LAP LAMBERT Academic Publishing Okt 2016, 2016
ISBN 10: 3659687731
ISBN 13: 9783659687730
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Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -The utilization of contextual information was studied for the analysis of fMRI data. The approach consisted of two phases: computation of a statistical parametric map and activation detection by contextual clustering. The iterative clustering algorithm presented in this work is based on Besag¿s ICM algorithm. Our contribution has been to apply and evaluate the ICM in the context of hypothesis testing and statistical parametric maps. The results indicate that the power of the developed contextual algorithm is superior to that of conventional voxel-by-voxel thresholding of a statistical parametric map. Although fMRI data were used to test the algorithm, the construction of the algorithm is general and it can be used to detect objects with unknown distribution from a known background distribution in other similar problems as well.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Nº de ref. del artículo: 9783659687730
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Analysis of Functional MRI Data using Clustering Algorithm
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659687731
ISBN 13: 9783659687730
Nuevo
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Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 68 pages. 8.66x5.91x0.16 inches. In Stock. Nº de ref. del artículo: 3659687731
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