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 foundat...
ISBN:
(数字)9783319738390
ISBN:
(纸本)9783319738383
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 and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as frontline applications in neuroscience research and clinical practice. These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI17) held in Qubec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics.
This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contribut...
ISBN:
(数字)9783319912745
ISBN:
(纸本)9783319912738
This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.
This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from convent...
ISBN:
(数字)9783319613581
ISBN:
(纸本)9783319613574
This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
Discovering users' behavior via eye-tracking data analysis is a common task that has important implications in many domains including marketing, design, behavior study, and psychology. In our project, we are inter...
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ISBN:
(纸本)9783319470245;9783319470238
Discovering users' behavior via eye-tracking data analysis is a common task that has important implications in many domains including marketing, design, behavior study, and psychology. In our project, we are interested in analyzing eye-tracking data to investigate differences between age groups in emotion regulation using visual attention. To achieve this goal, we adopted a general-purposed interactive visualization method, namely Glyph, to conduct temporal analysis on participants' fixation data. Glyph facilitates comparison of abstract data sequences to understand group and individual patterns. In this article, we show how a visualization system adopting the Glyph method can be constructed, allowing us to understand how users shift their fixations and dwelling given different stimuli, and how different user groups differ in terms of these temporal eye-tracking patterns. The discussion demonstrates the utility of Glyph not only for the purpose of our project, but also for other eye-tracking data analyses that require exploration within the space of temporal patterns.
In contrast to traditional video, immersive video allows viewers to interactively control their field of view in a 360 degrees panoramic scene. However, established methods for the comparative evaluation of gaze data ...
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ISBN:
(纸本)9783319470245;9783319470238
In contrast to traditional video, immersive video allows viewers to interactively control their field of view in a 360 degrees panoramic scene. However, established methods for the comparative evaluation of gaze data for video require that all participants observe the same viewing area. We therefore propose new specialized visualizations and a novel visual analytics framework for the combined analysis of head movement and gaze data. A novel View Similarity visualization highlights viewing areas branching and joining over time, while three additional visualizations provide global and spatial context. These new visualizations, along with established gaze evaluation techniques, allow analysts to investigate the storytelling of immersive videos. We demonstrate the usefulness of our approach using head movement and gaze data recorded for both amateur panoramic videos, as well as professionally composited immersive videos.
This book discusses research, methods, and recent developments in the interdisciplinary field that spans research in visualization, eye tracking, human-computer interaction, and psychology. It presents extended versio...
ISBN:
(数字)9783319470245
ISBN:
(纸本)9783319470238
This book discusses research, methods, and recent developments in the interdisciplinary field that spans research in visualization, eye tracking, human-computer interaction, and psychology. It presents extended versions of papers from the First Workshop on Eye Tracking and visualization (ETVIS), which was organized as a workshop of the IEEE VIS Conference 2015. Topics include visualization and visual analytics of eye-tracking data, metrics and cognitive models, eye-tracking experiments in the context of visualization interfaces, and eye tracking in 3D and immersive environments. The extended ETVIS papers are complemented by a chapter offering an overview of visualization approaches for analyzing eye-tracking data and a chapter that discusses electrooculography (EOG) as an alternative of acquiring information about eye movements. Covering scientific visualization, information visualization, and visual analytics, this book is a valuable resource for eye-tracking researchers within the visualization community.
Cortical parcellations provide valuable localisation resources for other neuroimaging modalities such as fMRI as well as insight into the structure-function relationship of the brain. The venerable but now dated ex vi...
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ISBN:
(数字)9783319541303
ISBN:
(纸本)9783319541303;9783319541297
Cortical parcellations provide valuable localisation resources for other neuroimaging modalities such as fMRI as well as insight into the structure-function relationship of the brain. The venerable but now dated ex vivo Brodmann map is currently being superseded by in vivo techniques that can better take into account intersubject variability. One popular in vivo method focusses on myeloarchitecture by measuring TI. This, however, probes only one aspect of cortical microstructure and is less useful in regions of low myelination. In contrast, diffusion MRI (dMRI) is sensitive to several additional microstructural features and can potentially provide a richer set of information regarding the architecture of grey matter microcircuitry. The following study used 3T HARDI data of multiple subjects to produce an entirely unsupervised, hemisphere-wide, group-average, parcellation. A qualitative assessment of the resulting cortical parcellation demonstrates several spatially coherent clusters in areas corresponding to well known functional anatomical areas. In addition, it exhibits some cluster boundaries that correlate with independently derived myelin mapping data for the same set of subjects, whilst also providing distinct clusters in areas (e.g., within MT+) where myelination is a less informative measurement.
High Angular Resolution Diffusion Imaging makes it possible to capture information about the course and location of complex fiber structures in the human brain. Ideally, multi-shell sampling would be applied, which ho...
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ISBN:
(数字)9783319541303
ISBN:
(纸本)9783319541303;9783319541297
High Angular Resolution Diffusion Imaging makes it possible to capture information about the course and location of complex fiber structures in the human brain. Ideally, multi-shell sampling would be applied, which however increases the acquisition time. Therefore, multi-shell acquisitions are considered infeasible for practical use in a clinical setting. In this work, we present a data-driven approach that is able to augment single-shell signals to multi-shell signals based on Deep Neural Networks and Spherical Harmonics. The proposed concept is evaluated on synthetic data to investigate the impact of noise and number of gradients. Moreover, it is evaluated on human brain data from the Human Connectome Project, comprising 100 scans from different subjects. The proposed approach makes it possible to drastically reduce the signal acquisition time and performs equally well on both synthetic as well as real human brain data.
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