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Diffusion MRI remains the most comprehensive reference for understanding this rapidly evolving and powerful technology and is an essential handbook for designing, analyzing, and interpreting diffusion MR experiments. Diffusion imaging provides a unique window on human brain anatomy. This non-invasive technique continues to grow in popularity as a way to study brain pathways that could never before be investigated in vivo. This book covers the fundamental theory of diffusion imaging, discusses its most promising applications to basic and clinical neuroscience, and intro

Diffusion magnetic resonance imaging. --- Diffusion-weighted imaging --- Diffusion-weighted magnetic resonance imaging --- Magnetic resonance imaging

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The medical MRI community is by far the largest user of diffusion NMR techniques and this book captures the current surge of methods and provides a primary source to aid adoption in this field.There is a trend to adapting the more advanced diffusion encoding sequences developed by NMR researchers within the fields of porous media, chemical engineering, and colloid science to medical research. Recently published papers indicate great potential for improved diagnosis of the numerous pathological conditions associated with changes of tissue microstructure that are invisible to conventional diffusion MRI. This book disseminates these recent developments to the wider community of MRI researchers and clinicians. The chapters cover the theoretical basis, hardware and pulse sequences, data analysis and validation, and recent applications aimed at promoting further growth in the field.This is a fast moving field and chapters are written by key MRI scientists that have contributed to the successful translation of the advanced diffusion NMR methods to the context of medical MRI, from global locations.

Diffusion magnetic resonance imaging. --- Diffusion-weighted imaging --- Diffusion-weighted magnetic resonance imaging --- Magnetic resonance imaging --- medical; mri; advanced; encoding methods

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Translational motion in solution, either diffusion or fluid flow, is at the heart of chemical and biochemical reactivity. Nuclear Magnetic Resonance (NMR) provides a powerful non-invasive technique for studying the phenomena using magnetic field gradient methods. Describing the physical basis of measurement techniques, with particular emphasis on diffusion, balancing theory with experimental observations and assuming little mathematical knowledge, this is a strong, yet accessible, introduction to the field. A detailed discussion of magnetic field gradient methods applied to Magnetic Resonance Imaging (MRI) is included, alongside extensive referencing throughout, providing a timely, definitive book to the subject, ideal for researchers in the fields of physics, chemistry and biology.

Reactivity (Chemistry) --- Nuclear magnetic resonance. --- Réactivité (Chimie) --- Résonance magnétique nucléaire --- Translational motion --- Diffusion magnetic resonance imaging. --- Diffusion-weighted imaging --- Diffusion-weighted magnetic resonance imaging --- Magnetic resonance imaging --- Magnetic resonance, Nuclear --- NMR (Nuclear magnetic resonance) --- Nuclear spin resonance --- Resonance, Nuclear spin --- Magnetic resonance --- Nuclear spin --- Nuclear quadrupole resonance --- Chemical reaction, Conditions and laws of --- Chemical reactions --- Motion --- Measurement.

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This book discusses diffusion weighted imaging (DWI) and its evolving clinical role.  DWI has frequently been used in the abdomen and pelvis but is now increasingly being used in other clinical applications, especially for the diagnostic workup of oncologic patients. Standardization and clinical validation of quantitative DWI related biomarkers is still ongoing, although efforts have been undertaken, especially in the prostate, to provide standardized imaging guidelines for different clinical indications. The technical aspects and clinical applications of DWI presented focus on the respective anatomical region and its pathologies. The book is unique in providing tables of technical details (imaging protocols, artifacts, optimization techniques) for each chapter, making this complex area as simple and practical as possible. The book is intended for radiologists interested in urogenital radiology and also for radiology residents.  .

Diffusion magnetic resonance imaging. --- Medicine. --- Gynecology. --- Radiology. --- Nephrology. --- Oncology. --- Urology. --- Biomedical engineering. --- Medicine & Public Health. --- Imaging / Radiology. --- Biomedical Engineering. --- Diffusion-weighted imaging --- Diffusion-weighted magnetic resonance imaging --- Magnetic resonance imaging --- Radiology, Medical. --- Oncology  . --- Biomedical Engineering and Bioengineering. --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Internal medicine --- Kidneys --- Gynaecology --- Generative organs, Female --- Genitourinary organs --- Tumors --- Clinical radiology --- Radiology, Medical --- Radiology (Medicine) --- Medical physics --- Diseases --- Gynecology . --- Radiological physics --- Physics --- Radiation

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This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity, while also sharing new perspectives and insights on the latest research challenges for those currently working in the field. Over the last decade, interest in diffusion MRI has virtually exploded. The technique provides unique insights into the microstructure of living tissue and enables in-vivo connectivity mapping of the brain. Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic, while new processing methods are essential to addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference. These papers from the 2016 MICCAI Workshop “Computational Diffusion MRI” – which was intended to provide a snapshot of the latest developments within the highly active and growing field of diffusion MR – cover a wide range of topics, from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms and applications in neuroscientific studies and clinical practice. The contributions include rigorous mathematical derivations, a wealth of rich, full-color visualizations, and biologically or clinically relevant results. As such, they will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics. .

Mathematics. --- Computer simulation. --- Image processing. --- Visualization. --- Biomathematics. --- Statistics. --- Mathematical and Computational Biology. --- Simulation and Modeling. --- Image Processing and Computer Vision. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Diffusion magnetic resonance imaging --- Diffusion-weighted imaging --- Diffusion-weighted magnetic resonance imaging --- Magnetic resonance imaging --- Computer vision. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Optical data processing. --- Statistics . --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Math --- Science --- Biology --- Optical equipment