Mohammad Shehab

Artificial Intelligence in Diffusion MRI

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

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 877
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-36085-6
• 1st ed. 2020
• Seitenzahl: 176
• Erscheinungstermin: 29. November 2020
• Englisch
• Abmessung: 235mm x 155mm x 10mm
• Gewicht: 277g
• ISBN-13: 9783030360856
• ISBN-10: 3030360857
• Artikelnr.: 60481293

Inhaltsangabe

Introduction Of Diffusion MRI and Cuckoo Search Algorithm.- Background Of Diffusion MRI.- Cuckoo Search Algorithm.- Methodology Of Extracting The Odf Maxima Using Csa.