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Artificial Intelligence in Diffusion MRI

Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function

  • Mohammad Shehab
Book

Part of the Studies in Computational Intelligence book series (SCI, volume 877)

Table of contents

About this book

Introduction

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. 

Keywords

Cuckoo Search Algorithm Bat Algorithm Hill Climbing Tournament Selection Scheme Orientation Distribution Function Q-Ball Imaging Magnetic Resonance Imaging

Authors and affiliations

  • Mohammad Shehab
    • 1
  1. 1.Computer Science\Artificial Intelligence DepartmentAqaba University of TechnologyAqabaJordan

Bibliographic information