Advanced Diffusion MRI Analysis Methods for Neonatal Imaging PDF Download

Author: Maximilian Rainer Pietsch
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Maximilian Pietsch
Publisher:
ISBN:
Category : Brain
Languages : en
Pages : 0

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Parts of this thesis and work related to experiments performed in this thesis have been presented at conferences under the titles "Effect of demyelination on dffusion tensor indices: A Monte Carlo simulation study" [Pietsch, Tournier, 2015], "Multi-contrast diffeomorphic non-linear registration of orientation density functions" [Pietsch et al., 2017a], "Transfer learning and convolutional neural net fusion for motion artefact de-tection" [Kelly et al., 2017], "Multi-shell neonatal brain HARDI template" [Pietsch et al., 2017b], and "Longitudinal multi-component HARDI atlas of neonatal white matter" [Pietsch et al., 2018]. A manuscript with the title "A framework for multi-component analysis of diffusion MRI data over the neonatal period" based on chapter 9 is currently under review in NeuroImage.

Author: Wim Van Hecke
Publisher: Springer
ISBN: 1493931180
Category : Medical
Languages : en
Pages : 442

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This book provides an overview of the practical aspects of diffusion tensor imaging (DTI), from understanding the basis of the technique through selection of the right protocols, trouble-shooting data quality, and analyzing DTI data optimally. DTI is a non-invasive magnetic resonance imaging (MRI) technique for visualizing and quantifying tissue microstructure based on diffusion. The book discusses the theoretical background underlying DTI and advanced techniques based on higher-order models and multi-shell diffusion imaging. It covers the practical implementation of DTI; derivation of information from DTI data; and a range of clinical applications, including neurosurgical planning and the assessment of brain tumors. Its practical utility is enhanced by decision schemes and a fully annotated DTI brain atlas, including color fractional anisotropy maps and 3D tractography reconstructions of major white matter fiber bundles. Featuring contributions from leading specialists in the field of DTI, Diffusion Tensor Imaging: A Practical Handbook is a valuable resource for radiologists, neuroradiologists, MRI technicians and clinicians.

Author: Xuan Gu
Publisher: Linköping University Electronic Press
ISBN: 9175190036
Category :
Languages : en
Pages : 93

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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.

Author: Daniel Topgaard
Publisher: Royal Society of Chemistry
ISBN: 178801992X
Category : Science
Languages : en
Pages : 455

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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.

Author: Heidi Johansen-Berg
Publisher: Academic Press
ISBN: 0124055095
Category : Medical
Languages : en
Pages : 627

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Book Description
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

Author: Rafael Neto Henriques
Publisher:
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Category :
Languages : en
Pages :

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Author: Susumu Mori
Publisher: Academic Press
ISBN: 0123984076
Category : Medical
Languages : en
Pages : 141

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Book Description
The concepts behind diffusion tensor imaging (DTI) are commonly difficult to grasp, even for magnetic resonance physicists. To make matters worse, a many more complex higher-order methods have been proposed over the last few years to overcome the now well-known deficiencies of DTI. In Introduction to Diffusion Tensor Imaging: And Higher Order Models, these concepts are explained through extensive use of illustrations rather than equations to help readers gain a more intuitive understanding of the inner workings of these techniques. Emphasis is placed on the interpretation of DTI images and tractography results, the design of experiments, and the types of application studies that can be undertaken. Diffusion MRI is a very active field of research, and theories and techniques are constantly evolving. To make sense of this constantly shifting landscape, there is a need for a textbook that explains the concepts behind how these techniques work in a way that is easy and intuitive to understand—Introduction to Diffusion Tensor Imaging fills this gap. Extensive use of illustrations to explain the concepts of diffusion tensor imaging and related methods Easy to understand, even without a background in physics Includes sections on image interpretation, experimental design, and applications Up-to-date information on more recent higher-order models, which are increasingly being used for clinical applications

Author: Brian Gregory Booth
Publisher:
ISBN:
Category :
Languages : en
Pages : 157

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Diffusion MRI (dMRI) is a powerful imaging modality that allows us to non-invasively examine the organization and integrity of fibrous tissue, particularly the brain's white matter. The result of a dMRI scan is a 3D image where each voxel contains a model that describes the local diffusion pattern of water molecules. The complicated nature and high dimensionality of these voxel-wise models make dMRI analysis especially challenging. The challenges increase when we look at dMRI scans from infants born prematurely. The smaller brain size for these infants, and the still-emerging brain structures these infants possess, increase the challenges involved in processing, analyzing, and interpreting dMRI scans. This thesis introduces four computational contributions in the area of dMRI analysis that attempt to address challenges exacerbated when imaging the preterm infant brain. Specifically, these four contributions are: (a) the first information content estimators for unaltered dMRI data, including a mutual information estimator for image registration; (b) a novel dMRI segmentation algorithm based on a cross-sectional piecewise constant image model; (c) the first global, closed-form probabilistic tractography algorithm, one where tracts compete for space in the brain; and (d) STEAM: the first patient-specific statistical abnormality mapping technique. In these four contributions, we model the dMRI data more accurately in order to improve the accuracy of dMRI analysis techniques, particularly in the presence of the small brain sizes and still-emerging brain structures seen in preterm infant dMRI. We further make the source code for these contributions publicly available to aid in the reproducibility of our research.

Author: Hao Huang
Publisher: Academic Press
ISBN: 0128166428
Category : Computers
Languages : en
Pages : 582

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Handbook of Pediatric Brain Imaging: Methods and Applications presents state-of-the-art research on pediatric brain image acquisition and analysis from a broad range of imaging modalities, including MRI, EEG and MEG. With rapidly developing methods and applications of MRI, this book strongly emphasizes pediatric brain MRI, elaborating on the sub-categories of structure MRI, diffusion MRI, functional MRI, perfusion MRI and other MRI methods. It integrates a pediatric brain imaging perspective into imaging acquisition and analysis methods, covering head motion, small brain sizes, small cerebral blood flow of neonates, dynamic cortical gyrification, white matter tract growth, and much more. Presents state-of-the-art pediatric brain imaging methods and applications Shows how to optimize the pediatric neuroimaging acquisition and analysis protocols Illustrates how to obtain quantitative structural, functional and physiological measurements