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Advanced Diffusion Encoding Methods In Mri


Advanced Diffusion Encoding Methods In Mri
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Advanced Diffusion Encoding Methods In Mri


Advanced Diffusion Encoding Methods In Mri
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Author : Daniel Topgaard
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-08-17

Advanced Diffusion Encoding Methods In Mri written by Daniel Topgaard and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-17 with Medical categories.


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.



Advanced Diffusion Encoding Methods In Mri


Advanced Diffusion Encoding Methods In Mri
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Author : Daniel Topgaard
language : en
Publisher: Royal Society of Chemistry
Release Date : 2020-08-06

Advanced Diffusion Encoding Methods In Mri written by Daniel Topgaard and has been published by Royal Society of Chemistry this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Science categories.


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.



Advanced Analysis Of Diffusion Mri Data


Advanced Analysis Of Diffusion Mri Data
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Author : Xuan Gu
language : en
Publisher: Linköping University Electronic Press
Release Date : 2019-11-19

Advanced Analysis Of Diffusion Mri Data written by Xuan Gu and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-19 with categories.


Diffusion magnetic resonance imaging (diffusion MRI) is a non-invasive imaging modality which can measure diffusion of water molecules, by making the MRI acquisition sensitive to diffusion. Diffusion MRI provides unique possibilities to study structural connectivity of the human brain, e.g. how the white matter connects different parts of the brain. Diffusion MRI enables a range of tools that permit qualitative and quantitative assessments of many neurological disorders, such as stroke and Parkinson. This thesis introduces novel methods for diffusion MRI data analysis. Prior to estimating a diffusion model in each location (voxel) of the brain, the diffusion data needs to be preprocessed to correct for geometric distortions and head motion. A deep learning approach to synthesize diffusion scalar maps from a T1-weighted MR image is proposed, and it is shown that the distortion-free synthesized images can be used for distortion correction. An evaluation, involving both simulated data and real data, of six methods for susceptibility distortion correction is also presented in this thesis. A common problem in diffusion MRI is to estimate the uncertainty of a diffusion model. An empirical evaluation of tractography, a technique that permits reconstruction of white matter pathways in the human brain, is presented in this thesis. The evaluation is based on analyzing 32 diffusion datasets from a single healthy subject, to study how reliable tractography is. In most cases only a single dataset is available for each subject. This thesis presents methods based on frequentistic (bootstrap) as well as Bayesian inference, which can provide uncertainty estimates when only a single dataset is available. These uncertainty measures can then, for example, be used in a group analysis to downweight subjects with a higher uncertainty.



Advanced Reconstruction Techniques For High Resolution Diffusion Weighted Mri


Advanced Reconstruction Techniques For High Resolution Diffusion Weighted Mri
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Author : Yuxin Hu
language : en
Publisher:
Release Date : 2020

Advanced Reconstruction Techniques For High Resolution Diffusion Weighted Mri written by Yuxin Hu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.


Diffusion-weighted MRI (DWI) is a non-invasive and non-ionizing method that detects the tissue microstructure by measuring the Brownian motion of water molecules in our body. It plays an essential role in numerous clinical applications and neuroscience research. However, the spatial resolution and signal-to-noise ratio of conventional DWI are limited due to the use of a single-shot acquisition. Multi-shot imaging enables the acquisition of high-resolution DWI data, but results in ghosting artifacts and signal cancellation. In this dissertation, we present advanced reconstruction techniques to overcome these artifacts and enable high-quality DWI in the clinic. First, we present the usage of the locally low-rank regularization to resolve the motion-induced phase variations among different shots. We demonstrate the improvements of multi-shot imaging with our proposed reconstruction in a clinical breast MRI study. To further improve the image quality, we introduce a non-linear model with a constraint on the magnitude images to utilize the angular correlation between different diffusion-encoding directions. Finally, we accelerate the reconstruction with an unrolled pipeline, which contains recurrences of model-based gradient updates and neural networks alternating between image space and Fourier space. Together, these techniques allow immediate reconstruction of high-resolution high-SNR DWI with reduced scan time requirements.



Diffusion Mri


Diffusion Mri
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Author : Derek K Jones
language : en
Publisher: Oxford University Press
Release Date : 2010-11-11

Diffusion Mri written by Derek K Jones and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-11 with Science categories.


Professor Derek Jones, a world authority on diffusion MRI, has assembled most of the world's leading scientists and clinicians developing and applying diffusion MRI to produce an authorship list that reads like a "Who's Who" of the field and an essential resource for those working with diffusion MRI. Destined to be a modern classic, this definitive and richly illustrated work covers all aspects of diffusion MRI from basic theory to clinical application. Oxford Clinical Neuroscience is a comprehensive, cross-searchable collection of resources offering quick and easy access to eleven of Oxford University Press's prestigious neuroscience texts. Joining Oxford Medicine Online these resources offer students, specialists and clinical researchers the best quality content in an easy-to-access format.



Diffusion Mri


Diffusion Mri
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Author : Heidi Johansen-Berg
language : en
Publisher: Academic Press
Release Date : 2013-11-04

Diffusion Mri written by Heidi Johansen-Berg and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-04 with Medical categories.


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 introduces cutting-edge methodological developments that will shape the field in coming years. Written by leading experts in the field, it places the exciting new results emerging from diffusion imaging in the context of classical anatomical techniques to show where diffusion studies might offer unique insights and where potential limitations lie. Fully revised and updated edition of the first comprehensive reference on a powerful technique in brain imaging Covers all aspects of a diffusion MRI study from acquisition through analysis to interpretation, and from fundamental theory to cutting-edge developments New chapters covering connectomics, advanced diffusion acquisition, artifact removal, and applications to the neonatal brain Provides practical advice on running an experiment Includes discussion of applications in psychiatry, neurology, neurosurgery, and basic neuroscience Full color throughout



Development And Assessment Of Advanced Quantitative Body Diffusion Weighted Mri


Development And Assessment Of Advanced Quantitative Body Diffusion Weighted Mri
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Author : Yuxin Zhang
language : en
Publisher:
Release Date : 2021

Development And Assessment Of Advanced Quantitative Body Diffusion Weighted Mri written by Yuxin Zhang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.


Diffusion-Weighted MRI (DW-MRI) has a unique ability to non-invasively probe tissue microstructure without the need for ionizing radiation or contrast agent administration. This ability makes DW-MRI a powerful tool for the detection, staging, and treatment monitoring of cancer. However, DWI remains limited by multiple imaging challenges, especially in extracranial organs such as liver and prostate. The major challenges include: 1) relatively long acquisition time in multi-parametric mapping, 2), T2-shinethrough effect 3) artifacts caused by tissue motion and 4) image distortions arising from local magnetic field heterogeneities. In this thesis, technical developments are introduced to address these challenges in prostate and liver DWI. A STimulated-Echo based mapping (STEM) approach is developed and optimized to achieve simultaneous T1, T2 and ADC mapping within five minutes. The STE-DWI sequence is also evaluated in patients with prostate cancer, in order to achieve high contrast-to-noise ratio (CNR) with moderate b-values. To address the motion artifacts in liver DWI caused by cardiac motion, a M1-Optimized Diffusion Imaging (MODI) method is proposed to compensate the motion sensitivity while maintaining the blood-suppression effect using optimized diffusion encoding gradient waveforms. Additionally, reduced Field-of-View and multi-shot EPI acquisitions are assessed in prostate DWI to reduce the geometric distortion artifacts. Finally, a synergistic combination of MODI and multi-shot EPI acquisitions are proposed for motion-robust, reduced-distortion liver DWI. In this work, the feasibility, quantitative accuracy and reproducibility of the proposed techniques are evaluated in simulations, quantitative diffusion phantoms, healthy volunteers and a small number of patients with known or suspected cancer.



Advanced Image Processing In Magnetic Resonance Imaging


Advanced Image Processing In Magnetic Resonance Imaging
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Author : Luigi Landini
language : en
Publisher: CRC Press
Release Date : 2018-10-03

Advanced Image Processing In Magnetic Resonance Imaging written by Luigi Landini and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Technology & Engineering categories.


The popularity of magnetic resonance (MR) imaging in medicine is no mystery: it is non-invasive, it produces high quality structural and functional image data, and it is very versatile and flexible. Research into MR technology is advancing at a blistering pace, and modern engineers must keep up with the latest developments. This is only possible with a firm grounding in the basic principles of MR, and Advanced Image Processing in Magnetic Resonance Imaging solidly integrates this foundational knowledge with the latest advances in the field. Beginning with the basics of signal and image generation and reconstruction, the book covers in detail the signal processing techniques and algorithms, filtering techniques for MR images, quantitative analysis including image registration and integration of EEG and MEG techniques with MR, and MR spectroscopy techniques. The final section of the book explores functional MRI (fMRI) in detail, discussing fundamentals and advanced exploratory data analysis, Bayesian inference, and nonlinear analysis. Many of the results presented in the book are derived from the contributors' own work, imparting highly practical experience through experimental and numerical methods. Contributed by international experts at the forefront of the field, Advanced Image Processing in Magnetic Resonance Imaging is an indispensable guide for anyone interested in further advancing the technology and capabilities of MR imaging.



A Practical Guide To Advanced Diffusion Mri


A Practical Guide To Advanced Diffusion Mri
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Author : Mario Coriasco
language : en
Publisher: Springer
Release Date : 2024-11-13

A Practical Guide To Advanced Diffusion Mri written by Mario Coriasco and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Medical categories.


This practical DWI techniques manual featuring all aspects of this modality – from image acquisition to data processing – is intended for technicians, including radiologic technologists and radiologists in training, as well as other professionals using MR in their daily routine. The contents are presented in concisely and schematically, and are enriched by a wealth of black and white as well as colored pictures and tables, making this an invaluable and easy-to-consult clinical tool. The main acquisition protocols are presented and explained in detail: how to optimize the best sequence parameters, balancing quality of the images and acquisition time, reducing or eliminating the most common artefacts. Further, it presents the main software available, with detailed descriptions on how to use it to process, present and print the results. Examples and tutorials using real-world datasets complete the book.



Advanced Diffusion Mri Analysis Methods For Neonatal Imaging


Advanced Diffusion Mri Analysis Methods For Neonatal Imaging
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Author : Maximilian Rainer Pietsch
language : en
Publisher:
Release Date : 2018

Advanced Diffusion Mri Analysis Methods For Neonatal Imaging written by Maximilian Rainer Pietsch and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.