Autoalign: Methodology and Technology for the Alignment of Functional Magnetic Resonance Imaging Time Series - Image Registration: The case of Functional MRI - Softcover
Synopsis
Revision with unchanged content. Functional Magnetic Resonance Imaging (FMRI) is currently acquired in Time Series to detect non-invasively, in-vivo functional activity of the human brain, thus determining four dimentional data sets. Although detectable, due to the short time in betweeen the acquisition of the brain volumes, head motion is usually minimal, however its correction is quite relevant to the consistency of the analysis of the FMRI data. This book presents methodology and technology for registering FMRI Time Series. Math formulations are given along with software engineering descriptions of the algorithms employed for the specific task of FMRI alignment. The book also presents the code that implements the methodology, which was written combining ANSI C, Open GL and Matlab. The intended audience of this work is composed by undergraduate and graduate students in academic disciplines within the domain of computer science applications, applied signal processing and computational engineering. Nevertheless this book is intented for anyone in the interests of how computer science, mathematics and engineering may combine together to forge the developmental effort in the quest for the solution of a technical challenge.
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About the Author
holds the Laurea in Management Engineering (University of Palermo, Italy), the M.S. in Information Systems and the Ph.D. in Computer and Information Science (NJIT, USA). Researcher at NIBH, Japan; Yale University, University of Iowa and Wayne State University, USA; in 2007 joined LANE COLLEGE as Assistant Professor of Computer Science.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. Functional Magnetic Resonance Imaging (FMRI) is currently acquired in Time Series to detect non-invasively, in-vivo functional activity of the human brain, thus determining four dimentional data sets. Although detectable, due to the short time in betweeen the acquisition of the brain volumes, head motion is usually minimal, however its correction is quite relevant to the consistency of the analysis of the FMRI data. This book presents methodology and technology for registering FMRI Time Series. Math formulations are given along with software engineering descriptions of the algorithms employed for the specific task of FMRI alignment. The book also presents the code that implements the methodology, which was written combining ANSI C, Open GL and Matlab. The intended audience of this work is composed by undergraduate and graduate students in academic disciplines within the domain of computer science applications, applied signal processing and computational engineering. Nevertheless this book is intented for anyone in the interests of how computer science, mathematics and engineering may combine together to forge the developmental effort in the quest for the solution of a technical challenge. 332 pp. Englisch. Seller Inventory # 9783639422702
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ciulla Carloholds the Laurea in Management Engineering (University of Palermo, Italy), the M.S. in Information Systems and the Ph.D. in Computer and Information Science (NJIT, USA). Researcher at NIBH, Japan Yale University, Univers. Seller Inventory # 4986484
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Taschenbuch. Condition: Neu. Autoalign | Methodology and Technology for the Alignment of Functional Magnetic Resonance Imaging Time Series - Image Registration: The case of Functional MRI | Carlo Ciulla | Taschenbuch | 332 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639422702 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106428613
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. Functional Magnetic Resonance Imaging (FMRI) is currently acquired in Time Series to detect non-invasively, in-vivo functional activity of the human brain, thus determining four dimentional data sets. Although detectable, due to the short time in betweeen the acquisition of the brain volumes, head motion is usually minimal, however its correction is quite relevant to the consistency of the analysis of the FMRI data. This book presents methodology and technology for registering FMRI Time Series. Math formulations are given along with software engineering descriptions of the algorithms employed for the specific task of FMRI alignment. The book also presents the code that implements the methodology, which was written combining ANSI C, Open GL and Matlab. The intended audience of this work is composed by undergraduate and graduate students in academic disciplines within the domain of computer science applications, applied signal processing and computational engineering. Nevertheless this book is intented for anyone in the interests of how computer science, mathematics and engineering may combine together to forge the developmental effort in the quest for the solution of a technical challenge.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 332 pp. Englisch. Seller Inventory # 9783639422702
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Autoalign : Methodology and Technology for the Alignment of Functional Magnetic Resonance Imaging Time Series - Image Registration: The case of Functional MRI
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Functional Magnetic Resonance Imaging (FMRI) is currently acquired in Time Series to detect non-invasively, in-vivo functional activity of the human brain, thus determining four dimentional data sets. Although detectable, due to the short time in betweeen the acquisition of the brain volumes, head motion is usually minimal, however its correction is quite relevant to the consistency of the analysis of the FMRI data. This book presents methodology and technology for registering FMRI Time Series. Math formulations are given along with software engineering descriptions of the algorithms employed for the specific task of FMRI alignment. The book also presents the code that implements the methodology, which was written combining ANSI C, Open GL and Matlab. The intended audience of this work is composed by undergraduate and graduate students in academic disciplines within the domain of computer science applications, applied signal processing and computational engineering. Nevertheless this book is intented for anyone in the interests of how computer science, mathematics and engineering may combine together to forge the developmental effort in the quest for the solution of a technical challenge. Seller Inventory # 9783639422702
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