Computational Diffusion MRI and Brain Connectivity : MICCAI Workshops, Nagoya, Japan, September 22nd, 2013

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 p

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学内専用E-BOOKS (local access only)

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http://dx.doi.org/10.1007/978-3-319-02475-2

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主題:

Computational Science and Engineering; Image Processing and Computer Vision; Mathematics; Pattern Recognition; Statistics for Life Sciences, Medicine, Health Sciences; Theoretical, Mathematical and Computational Physics; Visualization

分類・件名:

DC23 : 004
LCSH : Mathematics
LCSH : Computer vision
LCSH : Optical pattern recognition
LCSH : Computer science
LCSH : Visualization
LCSH : Statistics
FREE : Mathematics
FREE : Computational Science and Engineering
FREE : Image Processing and Computer Vision
FREE : Visualization
FREE : Pattern Recognition
FREE : Theoretical, Mathematical and Computational Physics
FREE : Statistics for Life Sciences, Medicine, Health Sciences

TTLL:

eng

言語:

英語

形態:

XIV, 255 p. 78 illus., 67 illus. in color : online resource

目次情報:

Part I Acquisition of Diffusion MRI: Comparing Simultaneous Multi-slice Diffusion Acquisitions by Y.Rathi 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 Y.Rathi 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 J.Cheng 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.F.Neher 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.J.Brown 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
Part V 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

Part I Acquisition of Diffusion MRI: Comparing Simultaneous Multi-slice Diffusion Acquisitions by Y.Rathi 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 Y.Rathi et al

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書誌ID:

KB00010789

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