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Computational Diffusion MRI and Brain Connectivity
MICCAI Workshops, Nagoya, Japan, September 22nd, 2013
Buch von Thomas Schultz (u. a.)
Sprache: Englisch

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Beschreibung
This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI¿13) and Mathematical Methods from Brain Connectivity (MMBC¿13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.

Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.

This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI¿13) and Mathematical Methods from Brain Connectivity (MMBC¿13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.

Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.

This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
Zusammenfassung

Offers a snapshot of the latest developments on a broad range of topics within the very active and growing fields of diffusion MR and brain connectivity

Features the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI'13) and Mathematical Methods from Brain Connectivity (MMBC'13)

Contributions include both careful mathematical derivations and a large number of rich full-color visualizations

Leading experts in the fields on the program committees

Includes supplementary material: [...]

Inhaltsverzeichnis

Part I Acquisition of Diffusion MRI: Comparing Simultaneous Multi-slice Diffusion Acquisitions by [...] et al.- Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI by B.Wilkins et al.- Model-based super-resolution of diffusion MRI by A.Tobisch et al.- A quantitative evaluation of errors induced by reduced field-of-view in diffusion tensor imaging by J.Hering et al.- Part II Diffusion MRI Modeling: The Diffusion Dictionary in the Human Brain is Short: Rotation Invariant Learning of Basis Functions by M.Reisert et al.- Diffusion Propagator Estimation Using Radial Basis Functions by [...] et al.- A Framework for ODF Inference by using Fiber Tract Adaptive MPG Selection by H.Hontani et al.- Non-Negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation by [...] et al.- Part III Tractography: A Novel Riemannian Metric for Geodesic Tractography in DTI by A.Fuster et al.- Fiberfox: An extensible system for generating realistic white matter software phantoms by P.[...] et al.- Choosing a Tractography Algorithm: On the Effects of Measurement Noise by A.Reichenbach et al.- Uncertainty in Tractography via Tract Confidence Regions by C.[...] et al.- Estimating Uncertainty in White Matter Tractography Using Wild Non-Local Bootstrap by P.- T. Yap et al.- Part IV Group Studies and Statistical Analysis: Groupwise Deformable Registration of Fiber Track Sets using Track Orientation Distributions by D. Christiaens et al.- Groupwise registration for correcting subject motion and eddy current distortions in diffusion MRI using a PCA based dissimilarity metric by W. Huizinga et al.- Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis by G. Zimmerman-Moreno et al.- Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children by E.Vallée et al.- PartV Brain Connectivity: Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding: M. Daianu et al.- Rich Club Analysis of Structural Brain Connectivity at 7 Tesla versus 3 Tesla: E. Dennis et al.- Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data: D. Scheinost et al.- Power Estimates for Voxel-Based Genetic Association Studies using Diffusion Imaging: N. Jahanshad et al.- Global changes in the connectome in autism spectrum diseases: C. Jonas Goch et al.

Details
Erscheinungsjahr: 2014
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Reihe: Mathematics and Visualization
Inhalt: xiv
255 S.
11 s/w Illustr.
67 farbige Illustr.
255 p. 78 illus.
67 illus. in color.
ISBN-13: 9783319024745
ISBN-10: 3319024744
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Schultz, Thomas
Nedjati-Gilani, Gemma
Panagiotaki, Eleftheria
O'Donnell, Lauren
Venkataraman, Archana
Herausgeber: Thomas Schultz/Gemma Nedjati-Gilani/Archana Venkataraman et al
Hersteller: Springer International Publishing
Springer International Publishing AG
Mathematics and Visualization
Maße: 241 x 160 x 21 mm
Von/Mit: Thomas Schultz (u. a.)
Erscheinungsdatum: 27.01.2014
Gewicht: 0,576 kg
Artikel-ID: 105489071
Zusammenfassung

Offers a snapshot of the latest developments on a broad range of topics within the very active and growing fields of diffusion MR and brain connectivity

Features the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI'13) and Mathematical Methods from Brain Connectivity (MMBC'13)

Contributions include both careful mathematical derivations and a large number of rich full-color visualizations

Leading experts in the fields on the program committees

Includes supplementary material: [...]

Inhaltsverzeichnis

Part I Acquisition of Diffusion MRI: Comparing Simultaneous Multi-slice Diffusion Acquisitions by [...] et al.- Effect of Data Acquisition and Analysis Method on Fiber Orientation Estimation in Diffusion MRI by B.Wilkins et al.- Model-based super-resolution of diffusion MRI by A.Tobisch et al.- A quantitative evaluation of errors induced by reduced field-of-view in diffusion tensor imaging by J.Hering et al.- Part II Diffusion MRI Modeling: The Diffusion Dictionary in the Human Brain is Short: Rotation Invariant Learning of Basis Functions by M.Reisert et al.- Diffusion Propagator Estimation Using Radial Basis Functions by [...] et al.- A Framework for ODF Inference by using Fiber Tract Adaptive MPG Selection by H.Hontani et al.- Non-Negative Spherical Deconvolution (NNSD) for Fiber Orientation Distribution Function Estimation by [...] et al.- Part III Tractography: A Novel Riemannian Metric for Geodesic Tractography in DTI by A.Fuster et al.- Fiberfox: An extensible system for generating realistic white matter software phantoms by P.[...] et al.- Choosing a Tractography Algorithm: On the Effects of Measurement Noise by A.Reichenbach et al.- Uncertainty in Tractography via Tract Confidence Regions by C.[...] et al.- Estimating Uncertainty in White Matter Tractography Using Wild Non-Local Bootstrap by P.- T. Yap et al.- Part IV Group Studies and Statistical Analysis: Groupwise Deformable Registration of Fiber Track Sets using Track Orientation Distributions by D. Christiaens et al.- Groupwise registration for correcting subject motion and eddy current distortions in diffusion MRI using a PCA based dissimilarity metric by W. Huizinga et al.- Fiber Based Comparison of Whole Brain Tractographies with Application to Amyotrophic Lateral Sclerosis by G. Zimmerman-Moreno et al.- Statistical Analysis of White Matter Integrity for the Clinical Study of Typical Specific Language Impairment in Children by E.Vallée et al.- PartV Brain Connectivity: Disrupted Brain Connectivity in Alzheimer's Disease: Effects of Network Thresholding: M. Daianu et al.- Rich Club Analysis of Structural Brain Connectivity at 7 Tesla versus 3 Tesla: E. Dennis et al.- Coupled Intrinsic Connectivity: A Principled Method for Exploratory Analysis of Paired Data: D. Scheinost et al.- Power Estimates for Voxel-Based Genetic Association Studies using Diffusion Imaging: N. Jahanshad et al.- Global changes in the connectome in autism spectrum diseases: C. Jonas Goch et al.

Details
Erscheinungsjahr: 2014
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Reihe: Mathematics and Visualization
Inhalt: xiv
255 S.
11 s/w Illustr.
67 farbige Illustr.
255 p. 78 illus.
67 illus. in color.
ISBN-13: 9783319024745
ISBN-10: 3319024744
Sprache: Englisch
Ausstattung / Beilage: HC runder Rücken kaschiert
Einband: Gebunden
Redaktion: Schultz, Thomas
Nedjati-Gilani, Gemma
Panagiotaki, Eleftheria
O'Donnell, Lauren
Venkataraman, Archana
Herausgeber: Thomas Schultz/Gemma Nedjati-Gilani/Archana Venkataraman et al
Hersteller: Springer International Publishing
Springer International Publishing AG
Mathematics and Visualization
Maße: 241 x 160 x 21 mm
Von/Mit: Thomas Schultz (u. a.)
Erscheinungsdatum: 27.01.2014
Gewicht: 0,576 kg
Artikel-ID: 105489071
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