Assessing Cellular Microstructure in Biological Tissues using In Vivo Diffusion Weighted Magnetic Resonance

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  • Author : Julien Valette
  • Publisher : Frontiers Media SA
  • Pages : pages
  • ISBN : 2889458415
  • Rating : /5 from reviews
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Download or Read online Assessing Cellular Microstructure in Biological Tissues using In Vivo Diffusion Weighted Magnetic Resonance full in PDF, ePub and kindle. this book written by Julien Valette and published by Frontiers Media SA which was released on 16 May 2019 with total page pages. We cannot guarantee that Assessing Cellular Microstructure in Biological Tissues using In Vivo Diffusion Weighted Magnetic Resonance book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Magnetic resonance imaging (MRI) and spectroscopy (MRS) techniques have opened new doors for examining biological tissues in vivo. By combining sensitization to diffusion using magnetic field gradients with a variety of imaging and localization schemes, diffusion-weighted MRI and diffusion-weighted MRS allow investigating translational diffusion of endogenous molecules, such as water or metabolites, in biological tissues, most commonly the brain but also other organs such as the prostate. The typical voxel resolution of MRI or MRS is in the millimeter to centimeter range, much lower than the cellular scale. However, as molecules are typically diffusing over just a few µm during the duration of the measurement (the “diffusion time”) and encounter numerous biological membranes at these scales, the average cellular microstructure has a critical influence on the measured diffusion signal. Hence, diffusion-weighted MRI and diffusion-weighted MRS are sensitive to tissue microstructure at a scale well below the nominal imaging resolution. However, the connection between diffusion properties and tissue microstructure remains indirect, so any attempt to quantify microstructure will rely on modeling. The goal of this Research Topic was to gather experts in various acquisition and modeling strategies and show how these approaches, despite their own strengths and weaknesses, can yield unique information about cellular microstructure, and sometimes complement each other.

Assessing Cellular Microstructure in Biological Tissues using In Vivo Diffusion Weighted Magnetic Resonance

Assessing Cellular Microstructure in Biological Tissues using In Vivo Diffusion Weighted Magnetic Resonance
  • Author : Julien Valette,Itamar Ronen,Sune Nørhøj Jespersen
  • Publisher : Frontiers Media SA
  • Release : 16 May 2019
GET THIS BOOK Assessing Cellular Microstructure in Biological Tissues using In Vivo Diffusion Weighted Magnetic Resonance

Magnetic resonance imaging (MRI) and spectroscopy (MRS) techniques have opened new doors for examining biological tissues in vivo. By combining sensitization to diffusion using magnetic field gradients with a variety of imaging and localization schemes, diffusion-weighted MRI and diffusion-weighted MRS allow investigating translational diffusion of endogenous molecules, such as water or metabolites, in biological tissues, most commonly the brain but also other organs such as the prostate. The typical voxel resolution of MRI or MRS is in the millimeter to

Microstructure with Magnetic Resonance

Microstructure with Magnetic Resonance
  • Author : Valerij G. Kiselev,Dmitry S. Novikov
  • Publisher : Academic Press
  • Release : 15 November 2021
GET THIS BOOK Microstructure with Magnetic Resonance

Microstructure with Magnetic Resonance: Problems and Solutions responds to the challenge of how to see the invisible with magnetic resonance imaging. Technically, the goal is to quantify cellular-level properties of biological tissues and microarchitecture of porous media orders of magnitude below the achievable resolution of MR. While the interest in this area has grown exponentially, current research involves physics outside the scope of standard NMR and MRI textbooks. Microstructure with Magnetic Resonance: Problems and Solutions introduces readers to methods of

Characterization of Tumor Microstructures with Diffusion weighted MRI

Characterization of Tumor Microstructures with Diffusion weighted MRI
  • Author : Shu Xing
  • Publisher : Unknown
  • Release : 09 May 2021
GET THIS BOOK Characterization of Tumor Microstructures with Diffusion weighted MRI

"Cancerous tumors are often heterogenous in their cellular composition and morphology. The tumor subregions can differ in many properties including growth rate, ability to metastasize, immunological characteristics, and sensitivity to therapies. Characterizing the tumor microenvironment could be beneficial for cancer diagnosis and the development of targeted therapy. Diffusion-weighted MRI is a powerful tool for the characterization of tumor microenvironment, due to its sensitivity to the Brownian motion of water molecules. By relating plausible models of the underlying tissue architecture to

Diffusion MRI

Diffusion MRI
  • Author : Heidi Johansen-Berg,Timothy E.J. Behrens
  • Publisher : Academic Press
  • Release : 28 April 2009
GET THIS BOOK Diffusion MRI

Diffusion MRI is a magnetic resonance imaging (MRI) method that produces in vivo images of biological tissues weighted with the local microstructural characteristics of water diffusion, providing an effective means of visualizing functional connectivities in the nervous system. This book is the first comprehensive reference promoting the understanding of this rapidly evolving and powerful technology and providing the essential handbook for designing, analyzing or interpreting diffusion MR experiments. The book presents diffusion imaging in the context of well-established, classical experimental

Computational Diffusion MRI

Computational Diffusion MRI
  • Author : Elisenda Bonet-Carne,Francesco Grussu,Lipeng Ning,Farshid Sepehrband,Chantal M. W. Tax
  • Publisher : Springer
  • Release : 23 April 2019
GET THIS BOOK Computational Diffusion MRI

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

In Vivo Quantification of Cardiac Microstructure with Convex Optimized Diffusion Weighted MRI

In Vivo Quantification of Cardiac Microstructure with Convex Optimized Diffusion Weighted MRI
  • Author : Eric Aliotta
  • Publisher : Unknown
  • Release : 09 May 2021
GET THIS BOOK In Vivo Quantification of Cardiac Microstructure with Convex Optimized Diffusion Weighted MRI

Diffusion weighted imaging (DWI) is a powerful quantitative magnetic resonance imaging (MRI) technique that can probe tissues in vivo at the microscopic level and provide insight into cellular microstructural environment. Cardiac DWI has great potential value in its ability to answer open questions regarding myocardial structure, dynamics, and remodeling. Unfortunately, several technical limitations of current DWI techniques make its application in the beating heart very challenging, which leads to erroneous or inconsistent results. Amongst the challenges are an extreme sensitivity

Evaluation of Myocardial Microstructure in Congenital Heart Diseases with Diffusion Magnetic Resonance Imaging

Evaluation of Myocardial Microstructure in Congenital Heart Diseases with Diffusion Magnetic Resonance Imaging
  • Author : Cyril Tous
  • Publisher : Unknown
  • Release : 09 May 2021
GET THIS BOOK Evaluation of Myocardial Microstructure in Congenital Heart Diseases with Diffusion Magnetic Resonance Imaging

New Zealand has a long history with studying congenital heart disease (CHD) and has one of the oldest collections of hearts that dates back to the 1950s. These pathological specimens can provide insight into the characteristics of CHD across particular patient groups. The work in this thesis details the development of MRI diffusion sequences and analysis techniques to assess myocardial fibre structure in these long-term fixed specimens. These techniques are then used to characterise the differences in fibre structure between

Diffusion Tensor Imaging

Diffusion Tensor Imaging
  • Author : Wim Van Hecke,Louise Emsell,Stefan Sunaert
  • Publisher : Springer
  • Release : 14 December 2015
GET THIS BOOK Diffusion Tensor Imaging

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

Diffusion Encoding Waveform Design for Mapping Microstructure in the Human Brain

Diffusion Encoding Waveform Design for Mapping Microstructure in the Human Brain
  • Author : Grant Kaijuin Yang
  • Publisher : Unknown
  • Release : 09 May 2021
GET THIS BOOK Diffusion Encoding Waveform Design for Mapping Microstructure in the Human Brain

Diffusion MRI is a non-invasive method of measuring the diffusion of water molecules in biological tissue. The patterns of water diffusion reflect the underlying tissue microstructure, which hinders or restricts the displacement of water. Changes in diffusion reflect microstructural changes that can be critical for clinical diagnosis, disease monitoring, and the study of neurodegenerative processes. The diffusive motion of water is encoded through the interaction of time-varying magnetic field gradients and the diffusive motion of water molecules. The design of