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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial Intelligence in Diffusion MRI/ by Mohammad Shehab.
Reminder of title:	Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function /
Author:	Shehab, Mohammad.
Description:	XVII, 157 p. 61 illus., 54 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-36083-2
ISBN:	9783030360832

Artificial Intelligence in Diffusion MRI = Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function /
Shehab, Mohammad.

Artificial Intelligence in Diffusion MRIEnhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function /[electronic resource] :by Mohammad Shehab. - 1st ed. 2020. - XVII, 157 p. 61 illus., 54 illus. in color.online resource. - Studies in Computational Intelligence,8771860-949X ;. - Studies in Computational Intelligence,564.

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

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. .

ISBN: 9783030360832

Standard No.: 10.1007/978-3-030-36083-2doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Artificial Intelligence in Diffusion MRI = Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function /
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