Artificial Intelligence in Diffusion MRI: Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution ... in Computational Intelligence Book 877)
Categories: Kindle Store, Kindle eBooks, Computers & Technology

This book focuses on the use of artificial intelligence to address a specific problem in the brain – the orientation distribution function. It discusses three aspects: (i) Preparing, enhancing and evaluating one of the cuckoo search algorithms (CSA); (ii) Describing the problem: Diffusion-weighted magnetic resonance imaging (DW-MRI) is used for non-invasive investigations of anatomical connectivity in the human brain, while Q-ball imaging (QBI) is a diffusion MRI reconstruction technique based on the orientation distribution function (ODF), which detects the dominant fiber orientations; however, ODF lacks local estimation accuracy along the path. (iii) Evaluating the performance of the CSA versions in solving the ODF problem using synthetic and real-world data. This book appeals to both postgraduates and researchers who are interested in the fields of medicine and computer science.


Sticky notes: Not Enabled
Language: English
File size: 31095 KB
Publisher: Springer
Publication date: November 20, 2019
ISBN-13: 978-3030360825
Edition: 1st ed. 2020
Part of series: Studies in Computational Intelligence
subtitle: 1st ed. 2020 Edition, Kindle Edition
author: Mohammad Shehab