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Contour Based Brain Image Registration For Perfusion Diffusion Magnetic Resonance Imaging Studies
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Book Synopsis Contour-based Brain Image Registration for Perfusion-diffusion Magnetic Resonance Imaging Studies by : Yanhong Chu
Download or read book Contour-based Brain Image Registration for Perfusion-diffusion Magnetic Resonance Imaging Studies written by Yanhong Chu and published by . This book was released on 1992 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis 3D Image Registration for MRI-based Perfusion/diffusion Imaging Studies of the Brain by : Naidy Chen
Download or read book 3D Image Registration for MRI-based Perfusion/diffusion Imaging Studies of the Brain written by Naidy Chen and published by . This book was released on 1993 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High-Resolution Neuroimaging by : Ahmet Mesrur Halefoğlu
Download or read book High-Resolution Neuroimaging written by Ahmet Mesrur Halefoğlu and published by BoD – Books on Demand. This book was released on 2018-03-14 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr. Ahmet Mesrur Halefoğlu mostly deals with research fields in body imaging and neuroradiology with multidetector computed tomography and high-resolution magnetic resonance imaging. He has served as postdoctoral research fellow at Johns Hopkins Hospital. Currently, he is working as an associate professor of radiology in Istanbul, Turkey. He has more than 50 high-impact-factor publications and has written 3 book chapters. He is a member of Turkish Society of Radiology and European Society of Radiology. During the recent years, there have been major breakthroughs in MRI due to developments in scanner technology and pulse sequencing. These important achievements have led to remarkable improvements in neuroimaging and advanced techniques, including diffusion imaging, diffusion tensor imaging, perfusion imaging, magnetic resonance spectroscopy, and functional MRI. These advanced neuroimaging techniques have enabled us to achieve invaluable insights into tissue microstructure, microvasculature, metabolism, and brain connectivity.
Book Synopsis Cerebral MR Perfusion Imaging by : A. Gregory Sorensen
Download or read book Cerebral MR Perfusion Imaging written by A. Gregory Sorensen and published by Thieme. This book was released on 2000 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will familiarize the reader with the basic principles of perfusion MR imaging. Relevant technical aspects, contrast agents, and the postprocessing of images are presented, and imaging protocols are provided. Dedicated software for personal use on the postprocessing of images is provided on a CD-ROM containing hundreds of images and movie clips that demonstrate all concepts. In addition to the technical details of acquisition and postprocessing, numerous examples of the application of these tools in the clinical setting are also shown. In particular, the book includes a discussion of the role of perfusion MRI in the current evaluation of cerebrovascular disease, including an integrative approach using diffusion in conjunction with perfusion imaging. This text covers: all relevant technical aspects of perfusion MR imaging imaging protocols application of these tools in a clinical setting integration of diffusion imaging with perfusion imaging for enhanced diagnostic capabilities Also addressed are the role of perfusion MRI in the assessment of cerebral neoplasia, challenges and opportunities for treatment that tumors present, and the particular strengths of perfusion MRI, such as its relatively high resolution and possible microvascular specificity. For both newcomers and experienced practitioners, this is a nuts-and-bolts description of an important new technique.
Book Synopsis Handbook of Pediatric Brain Imaging by : Hao Huang
Download or read book Handbook of Pediatric Brain Imaging written by Hao Huang and published by Academic Press. This book was released on 2021-10-27 with total page 582 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Non-rigid Image Registration for Enhanced Localization in Magnetic Resonance Brain Imaging by : Ali Gholipour-Baboli
Download or read book Non-rigid Image Registration for Enhanced Localization in Magnetic Resonance Brain Imaging written by Ali Gholipour-Baboli and published by . This book was released on 2008 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technical advances in magnetic resonance imaging (MRI) have lead to clinical and scientific applications with higher spatial and temporal resolution. One area of interest is in neuroscience and neuropathology studies towards revealing the ambiguities of human brain function and mental brain disorders. As more challenging patient populations are imaged and more advanced experiments are designed, there is an increasing demand for more accurate localization of brain function and structure. Localization of functional information and fusion of magnetic resonance images has been addressed through image registration techniques. Accurate rigid and affine registration techniques are now part of the standard brain image processing toolkits, which aim at correcting the effect of head motion and repositioning into a sub-voxel range. However, local spatial distortions may cause typical localization errors of up to 10 millimeters in magnetic resonance images acquired by Echo-Planar Imaging (EPI). This compromises the accuracy of localization and registration in functional MRI, Diffusion Tensor Imaging and Arterial Spin Labeling. Such spatial distortions are mainly caused by field inhomogeneity and susceptibility artifacts and cannot be compensated by rigid and affine registration techniques. Therefore, the main thrust of this dissertation has been the deployment of non-rigid registration for the correction of local spatial distortions in EPI. As a main challenge, quantitative in-vivo validation criteria have been devised to support the routine use of the developed techniques as part of a toolkit named NPTK, or Neuroimage Processing ToolKit. The outcome of this research makes up the core component of NPTK for enhanced localization. The technical developments on the optimization aspects of information similarity measures carried out as part of this research is generally applicable to high-dimensional optimization problems including non-rigid registration, information theoretic learning, pattern classification, and bioinformatics.
Book Synopsis Measuring Resting Cerebral Perfusion using Magnetic Resonance Imaging (MRI) by : James Duffin
Download or read book Measuring Resting Cerebral Perfusion using Magnetic Resonance Imaging (MRI) written by James Duffin and published by Frontiers Media SA. This book was released on 2024-07-12 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: The acquisition of resting cerebral perfusion measures using magnetic resonance imaging (MRI) is one of the assessments of cerebrovascular health used to discern how well patients are coping with anatomical changes such as stenosis, and other factors impacting the supply of blood flow to the brain. Perfusion measures may be obtained using several MRI based techniques including arterial spin labeling (ASL) and dynamic contrast enhanced methods that rely on injected contrast agents such as gadolinium. Recently hypoxia-induced changes in deoxyhemoglobin have been used as a non-invasive contrast agent, measuring the resulting changes in blood oxygen dependent (BOLD) signals with MRI. With each approach, the means through which voxel-wise cerebral perfusion information is derived differs, leading to the development a variety of analysis methods in recent studies. This Research Topic is intended to attract manuscripts that advance the use of resting cerebral perfusion measures in clinical assessments of cerebrovascular health. In pursuit of this aim a better understanding of several aspects are needed.
Book Synopsis Advanced analysis of diffusion MRI data by : Xuan Gu
Download or read book Advanced analysis of diffusion MRI data written by Xuan Gu and published by Linköping University Electronic Press. This book was released on 2019-11-19 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Diffusion-Weighted MR Imaging of the Brain by : Toshio Moritani
Download or read book Diffusion-Weighted MR Imaging of the Brain written by Toshio Moritani and published by Springer Science & Business Media. This book was released on 2009-08-03 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few advances in MR imaging have had the impact degenerative neurologic disorders, white matter d- that dif usion-weighted (DW) imaging has had in the eases, toxic/metabolic disorders, and tumors. As one evaluation of brain. From the time of the early de- can easily see from the table of contents, the authors scriptions by LeBihan and colleagues of the ability have systematically covered all major areas of neu- to image and measure the micromovement of water radiology. T is will allow cross-referencing to pr- molecules in the brain to the present time, dif usion lematic cases which one may encounter. Additionally, imaging and its derivatives have made an impact in knowledge of what represents a normal adult brain the evaluation of multiple disease processes, primar- and a normal developing brain along with an exp- ily in ischemia, but also in other conditions of the nation of artifacts seen in DW imaging makes this a brain. In most medical centers dif usion imaging is valuable book. It is noteworthy that the authors have no longer considered a sequence to be used in spe- chosen to abundantly illustrate the clinical material, cial circumstances, but rather it is employed as part drawing on pathologic correlations in a number of of routine MR imaging of the brain. Because the in- areas.
Book Synopsis Magnetic Resonance Brain Imaging by : Jörg Polzehl
Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2019-09-25 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.
Book Synopsis Computational Diffusion MRI and Brain Connectivity by : Thomas Schultz
Download or read book Computational Diffusion MRI and Brain Connectivity written by Thomas Schultz and published by Springer Science & Business Media. This book was released on 2014-01-13 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013. Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling. This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
Book Synopsis Clinical MR Neuroimaging by : Jonathan H. Gillard
Download or read book Clinical MR Neuroimaging written by Jonathan H. Gillard and published by . This book was released on 2005-01 with total page 827 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about advanced neuroimaging techniques used for the diagnosis of a wide range of brain disorders.
Book Synopsis Magnetic Resonance Brain Imaging by : Jörg Polzehl
Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2023-11-12 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain. For the data processing pipelines we rely on R, the software environment for statistical computing and graphics. The book is intended for readers from two communities: Statisticians, who are interested in neuroimaging and look for an introduction to the acquired data and typical scientific problems in the field and neuroimaging students, who want to learn about the statistical modeling and analysis of MRI data. Being a practical introduction, the book focuses on those problems in data analysis for which implementations within R are available. By providing full worked-out examples the book thus serves as a tutorial for MRI analysis with R, from which the reader can derive its own data processing scripts. The book starts with a short introduction into MRI. The next chapter considers the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters then cover four common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, Multi-Parameter Mapping and Inversion Recovery MRI. The book concludes with extended Appendices on details of the utilize non-parametric statistics and on resources for R and MRI data. The book also addresses the issues of reproducibility and topics like data organization and description, open data and open science. It completely relies on a dynamic report generation with knitr: The books R-code and intermediate results are available for reproducibility of the examples.
Book Synopsis Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine by : Toshio Moritani
Download or read book Diffusion-Weighted MR Imaging of the Brain, Head and Neck, and Spine written by Toshio Moritani and published by Springer Nature. This book was released on 2021-05-30 with total page 928 pages. Available in PDF, EPUB and Kindle. Book excerpt: This richly illustrated book, now in an updated and extended third edition, systematically covers the use of diffusion-weighted (DW) MR imaging in all major areas of neuroradiology, including imaging of the head and neck and the spine as well as the brain. The authors guide the reader from the basic principles of DW imaging through to the use of cutting-edge diffusion sequences such as diffusion tensor (DTI) and kurtosis (DKI), fiber tractography, high b value, intravoxel incoherent motion (IVIM), neurite orientation dispersion and density imaging (NODDI), and oscillating gradient spin echo (OGSE). Pathology, pathophysiology, and patient management and treatment are all thoroughly discussed. Since the early descriptions by LeBihan and colleagues of the ability to image and measure the micromovement of water molecules in the brain, diffusion imaging and its derivatives have contributed ever more significantly to the evaluation of multiple disease processes. In comprehensively describing the state of the art in the field, this book will be of high value not only for those who deal routinely with neuro-MR imaging but also for readers who wish to establish a sound basis for understanding diffusion images in the hope of extending these principles into more exotic areas of neuroimaging.
Book Synopsis Registration and Segmentation Methodology for Perfusion Mr Images by : Dwarikanath Mahapatra
Download or read book Registration and Segmentation Methodology for Perfusion Mr Images written by Dwarikanath Mahapatra and published by LAP Lambert Academic Publishing. This book was released on 2012-08 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Magnetic resonance imaging (MRI) has emerged as a reliable tool for functional analysis of internal organs like the kidney and the heart. Due to the considerable length of time taken to acquire MR images, they are affected by patient motion. Besides, MR images are characterized by low spatial resolution, noise and rapidly changing intensity. Rapid intensity change is the primary challenge that MR image registration methods need to address. This book details some approaches to overcome this challenge. We make use of saliency information that aims to imitate the working of the human visual system for registration of medical images.The second part of our work deals with elastic registration of cardiac perfusion images. The saliency model is modified to reflect the local similarity property at every pixel. Markov random fields (MRFs) are used to integrate saliency and gradient information for elastic registration. Finally we describe a joint registration and segmentation (JRS) method for the perfusion images which exploits the mutual dependency of registration and segmentation.
Book Synopsis Diffusion-weighted MR Imaging of the Brain by : Toshio Moritani
Download or read book Diffusion-weighted MR Imaging of the Brain written by Toshio Moritani and published by Springer Science & Business Media. This book was released on 2004 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides the basic principles and interpretation of diffusion-weighted MR imaging. Discusses the pitfalls and artifacts of DW imaging, basics of diffusion measurements by MRI, brain edema, infarction, intracranial hemorrhage, epilepsy, demyelinating and degenerative disease, and more. Abundant illustrations.
Book Synopsis Knowledge-based image segmentation using deformable registration: application to brain MRI images by : Xiangbo Lin
Download or read book Knowledge-based image segmentation using deformable registration: application to brain MRI images written by Xiangbo Lin and published by . This book was released on 2009 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research goal of this thesis is a contribution to the intra-modality inter-subject non-rigid medical image registration and the segmentation of 3D brain MRI images in normal case. The well-known Demons non-rigid algorithm is studied, where the image intensities are used as matching features. A new force computation equation is proposed to solve the mismatch problem in some regions. The efficiency is shown through numerous evaluations on simulated and real data. For intensity based inter-subject registration, normalizing the image intensities is important for satisfying the intensity correspondence requirements. A non-rigid registration method combining both intensity and spatial normalizations is proposed. Topology constraints are introduced in the deformable model to preserve an expected property in homeomorphic targets registration. The solution comes from the correction of displacement points with negative Jacobian determinants. Based on the registration, a segmentation method of the internal brain structures is studied. The basic principle is represented by ontology of prior shape knowledge of target internal structure. The shapes are represented by a unified distance map computed from the atlas and the deformed atlas, and then integrated into the similarity metric of the cost function. A balance parameter is used to adjust the contributions of the intensity and shape measures. The influence of different parameters of the method and comparisons with other registration methods were performed. Very good results are obtained on the segmentation of different internal structures of the brain such as central nuclei and hippocampus.
