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This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018. It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on 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 harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging. The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of 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 alike. .
Diffusion magnetic resonance imaging. --- Diffusion-weighted imaging --- Diffusion-weighted magnetic resonance imaging --- Magnetic resonance imaging --- Electronic data processing. --- Computer science. --- Computer vision. --- Computer simulation. --- Artificial intelligence. --- Mathematical and Computational Biology. --- Numeric Computing. --- Math Applications in Computer Science. --- Image Processing and Computer Vision. --- Simulation and Modeling. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Model-integrated computing --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Informatics --- Science --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Automation --- Biomathematics. --- Numerical analysis. --- Computer science—Mathematics. --- Optical data processing. --- Optical computing --- Visual data processing --- Integrated optics --- Photonics --- Mathematical analysis --- Biology --- Mathematics --- Optical equipment
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Numerical analysis --- Mathematics --- Biomathematics. Biometry. Biostatistics --- Electronics --- Telecommunication technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- optische communicatie --- optische elektronica --- biomathematica --- informatica --- datacommunicatie --- externe fixatie (geneeskunde --- KI (kunstmatige intelligentie) --- numerieke analyse
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This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI 2019), held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which took place in Shenzhen, China on October 17, 2019. This book presents the latest advances in the rapidly expanding field of diffusion MRI. It shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning about computational techniques in diffusion MRI. The book includes rigorous mathematical derivations, a wealth of rich, full-colour visualisations and extensive 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. Readers will find 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 diffusion-relaxometry and frontline applications in research and clinical practice. This edition includes invited works from high-profile researchers with a specific focus on three new and important topics that are gaining momentum within the diffusion MRI community, including diffusion MRI signal acquisition and processing strategies, machine learning for diffusion MRI, and diffusion MRI outside the brain and clinical applications.
Numerical analysis --- Mathematics --- Biomathematics. Biometry. Biostatistics --- Electronics --- Telecommunication technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- optische communicatie --- optische elektronica --- biomathematica --- informatica --- datacommunicatie --- externe fixatie (geneeskunde --- KI (kunstmatige intelligentie) --- numerieke analyse
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