Computational Diffusion MRI MICCAI Workshop, Québec, Canada, September 2017 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kaden, Enrico (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Grussu, Francesco (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Ning, Lipeng (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Tax, Chantal M. W. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Veraart, Jelle (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Mathematics and Visualization,
• Θέματα: Biomathematics.; Statistics .; Computer mathematics.; Bioinformatics.; Optical data processing.; Mathematical and Computational Biology.; Statistics for Life Sciences, Medicine, Health Sciences.; Computational Mathematics and Numerical Analysis.; Computational Biology/Bioinformatics.; Image Processing and Computer Vision.

This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods a...

Πίνακας περιεχομένων:

• Part I Data Acquisition and Modeling: Estimating Tissue Microstructure using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites by Marco Palombo
• (k, q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior by Evan Schwab et al
• Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qτ Samples Through a Relaxed Probabilistic Model by Patryk Filipiak et al
• A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation by Mauro Zucchelli et al
• Part II Image Postprocessing: Diffusion Specific Segmentation: Skull Stripping with Diffusion MRIData Alone by Robert I. Reid et al
• Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree by K´evin Ginsburger et al
• Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis by Laurent Chauvin et al
• Part III Tractography and Connectivity: Learning a Single Step of Streamline Tractography Based on Neural Networks by Daniel Jörgens et al
• Probabilistic Tractography for Complex Fiber Orientations with Automatic Model Selection by Edwin Versteeg et al
• Bundle-Specific Tractography by Francois Rheault et al
• A Sheet Probability Index from Diffusion Tensor Imaging by Michael Ankele et al
• Recovering Missing Connections in Diffusion Weighted MRI Using Matrix Completion by Chendi Wang et al
• Brain Parcellation and Connectivity Mapping Using Wasserstein Geometry by Hamza Farooq et al
• Exploiting Machine Learning Principles for Assessing the Fingerprinting Potential of Connectivity Features by Silvia Obertino et al
• Part IV Clinical Applications: Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players by Itay Benou et al
• Longitudinal Analysis Framework of DWI Data for Reconstructing Structural Brain Networks with Application to Multiple Sclerosis by Thalis Charalambous et al
• Multi-Modal Analysis of Genetically-Related Subjects Using SIFT Descriptors in Brain MRI by Kuldeep Kumar et al
• VERDICT Prostate Parameter Estimation with AMICO by Elisenda Bonet-Carne et al.