Introduction to Diffusion Tensor Imaging

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

Produk Detail:

  • Author : Susumu Mori
  • Publisher : Academic Press
  • Pages : 140 pages
  • ISBN : 0123984076
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKIntroduction to Diffusion Tensor Imaging

Introduction to Diffusion Tensor Imaging

Introduction to Diffusion Tensor Imaging
  • Author : Susumu Mori,J-Donald Tournier
  • Publisher : Academic Press
  • Release : 02 August 2013
GET THIS BOOKIntroduction to Diffusion Tensor Imaging

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.

Computational Diffusion MRI

Computational Diffusion MRI
  • Author : Suheyla Cetin-Karayumak,Daan Christiaens,Matteo Figini,Pamela Guevara,Noemi Gyori,Vishwesh Nath,Tomasz Pieciak
  • Publisher : Springer Nature
  • Release : 25 September 2021
GET THIS BOOKComputational Diffusion MRI

This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic. The 13 full papers included were carefully reviewed and selected for inclusion in the book. The proceedings also contain a paper about the design and scope of the MICCAI Diffusion-Simulated Connectivity Challenge (DiSCo) which was held at CDMRI 2021. The

Probing Brain Microstructure with Multidimensional Diffusion MRI

Probing Brain Microstructure with Multidimensional Diffusion MRI
  • Author : Björn Lampinen
  • Publisher : Unknown Publisher
  • Release : 25 May 2022
GET THIS BOOKProbing Brain Microstructure with Multidimensional Diffusion MRI

Diffusion MRI (dMRI) is a non-invasive probe of human brain microstructure. It is a long-standing promise to use dMRI for 'in vivo histology' and estimate tissue quantities. However, this faces several challenges. First, the microstructure models used for dMRI data are based on assumptions that may cause erroneous interpretations. Also, probing neurites in gray matter assumes high microscopic diffusion anisotropy in both axons and dendrites, which is not supported by evidence. Furthermore, dMRI data analysis typically ignores diffusional exchange between

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 BOOKAssessing 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

Advanced Diffusion Encoding Methods in MRI

Advanced Diffusion Encoding Methods in MRI
  • Author : Daniel Topgaard
  • Publisher : Royal Society of Chemistry
  • Release : 17 August 2020
GET THIS BOOKAdvanced Diffusion Encoding Methods in MRI

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

Diffusion MRI

Diffusion MRI
  • Author : Heidi Johansen-Berg,Timothy E. J. Behrens
  • Publisher : Unknown Publisher
  • Release : 26 November 2013
GET THIS BOOKDiffusion MRI

This title covers the field of diffusion imaging from the fundamental theory to its most cutting-edge applications. It contains sufficient detail to be a reference book for medical physicists, but also covers aspects of experimental design and example applications that will be of interest to clinical and basic neuroscientists. (Neuroscience)

Information Processing in Medical Imaging

Information Processing in Medical Imaging
  • Author : Aasa Feragen,Stefan Sommer,Julia Schnabel,Mads Nielsen
  • Publisher : Springer Nature
  • Release : 20 June 2021
GET THIS BOOKInformation Processing in Medical Imaging

This book constitutes the proceedings of the 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, which was held online during June 28-30, 2021. The conference was originally planned to take place in Bornholm, Denmark, but changed to a virtual format due to the COVID-19 pandemic. The 59 full papers presented in this volume were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows: registration; causal models and interpretability; generative modelling; shape; brain connectivity; representation learning;

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries
  • Author : Alessandro Crimi,Spyridon Bakas
  • Publisher : Springer Nature
  • Release : 26 March 2021
GET THIS BOOKBrainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

This two-volume set LNCS 12658 and 12659 constitutes the thoroughly refereed proceedings of the 6th International MICCAI Brainlesion Workshop, BrainLes 2020, the International Multimodal Brain Tumor Segmentation (BraTS) challenge, and the Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification (CPM-RadPath) challenge. These were held jointly at the 23rd Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2020, in Lima, Peru, in October 2020.* The revised selected papers presented in these volumes were organized in the following topical sections: brain lesion image analysis (16 selected

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
  • Author : Anne L. Martel,Purang Abolmaesumi,Danail Stoyanov,Diana Mateus,Maria A. Zuluaga,S. Kevin Zhou,Daniel Racoceanu,Leo Joskowicz
  • Publisher : Springer Nature
  • Release : 02 October 2020
GET THIS BOOKMedical Image Computing and Computer Assisted Intervention – MICCAI 2020

The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction;

Neuroimaging in Schizophrenia

Neuroimaging in Schizophrenia
  • Author : Marek Kubicki,Martha E. Shenton
  • Publisher : Springer Nature
  • Release : 18 February 2020
GET THIS BOOKNeuroimaging in Schizophrenia

This comprehensive book explains the importance of imaging techniques in exploring and understanding the role of brain abnormalities in schizophrenia. The findings obtained using individual imaging modalities and their biological interpretation are reviewed in detail, and updates are provided on methodology, testable hypotheses, limitations, and new directions for research. The coverage also includes important recent applications of neuroimaging to schizophrenia, for example in relation to non-pharmacological interventions, brain development, genetics, and prediction of treatment response and outcome. Written by world

Visualization and Processing of Tensor Fields

Visualization and Processing of Tensor Fields
  • Author : Joachim Weickert,Hans Hagen
  • Publisher : Springer Science & Business Media
  • Release : 25 June 2007
GET THIS BOOKVisualization and Processing of Tensor Fields

Matrix-valued data sets – so-called second order tensor fields – have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state of the art in the visualization and processing of tensor fields. It contains some longer chapters dedicated to surveys and tutorials of specific topics, as well as a great deal of original work by leading experts that has not been published before.