Modeling, Analysis, and Visualization of Anisotropy by Thomas Schultz Evren Özarslan & Ingrid Hotz
Author:Thomas Schultz, Evren Özarslan & Ingrid Hotz
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham
3 Measurements of Diffusion with Diffusion-Weighted MRI
The estimation of diffusion anisotropy can be thought, in first approximation, as the assessment of the amount of preference that the diffusion process has for a specific spatial direction, compared to the others, in terms of diffusivity. Therefore, this assessment requires sensing the diffusion signal along multiple spatial directions, regardless of the representation adopted to describe the signal itself. In MRI, this is typically done by acquiring a collection of images of the target object, e.g. the brain. Each image is acquired when the experimental conditions within the magnet’s bore determine a specific diffusion-weighting along the selected spatial direction: this is a Diffusion-Weighted Image (DWI). The diffusion-weighting is globally encoded by the b-value [46], measured in s∕mm2, a quantity that is the reciprocal of the diffusivity, D (mm2∕s). The intensity of the diffusion-weighting, i.e. the b-value, is determined by the acquisition setup.
The most common type of acquisition is the Pulsed Gradient Spin-Echo sequence (PGSE) [60], where a DWI is obtained by applying two diffusion gradients with intensity G = ∥G∥ (T∕m) and duration δ (s) to the tissue, separated by the separation time Δ (s). We illustrate this sequence in Fig. 2. The resulting signal is ‘weighted’, along the applied gradient direction, with b-value [60]
Download
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8306)
Test-Driven Development with Java by Alan Mellor(6770)
Data Augmentation with Python by Duc Haba(6685)
Principles of Data Fabric by Sonia Mezzetta(6431)
Learn Blender Simulations the Right Way by Stephen Pearson(6332)
Microservices with Spring Boot 3 and Spring Cloud by Magnus Larsson(6203)
Hadoop in Practice by Alex Holmes(5965)
Jquery UI in Action : Master the concepts Of Jquery UI: A Step By Step Approach by ANMOL GOYAL(5813)
RPA Solution Architect's Handbook by Sachin Sahgal(5600)
Big Data Analysis with Python by Ivan Marin(5385)
The Infinite Retina by Robert Scoble Irena Cronin(5293)
Life 3.0: Being Human in the Age of Artificial Intelligence by Tegmark Max(5154)
Pretrain Vision and Large Language Models in Python by Emily Webber(4350)
Infrastructure as Code for Beginners by Russ McKendrick(4113)
Functional Programming in JavaScript by Mantyla Dan(4042)
The Age of Surveillance Capitalism by Shoshana Zuboff(3961)
WordPress Plugin Development Cookbook by Yannick Lefebvre(3829)
Embracing Microservices Design by Ovais Mehboob Ahmed Khan Nabil Siddiqui and Timothy Oleson(3630)
Applied Machine Learning for Healthcare and Life Sciences Using AWS by Ujjwal Ratan(3603)
