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Artificial intelligence in diffusion...

Shehab, Mohammad.

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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:	Electronic resources : 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.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xvii, 157 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Introduction Of Diffusion MRI and Cuckoo Search Algorithm -- Background Of Diffusion MRI -- Cuckoo Search Algorithm -- Methodology Of Extracting The Odf Maxima Using Csa.
Contained By:	Springer eBooks
Subject:	Diffusion magnetic resonance imaging. -
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. - Cham :Springer International Publishing :2020. - xvii, 157 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8771860-949X ;. - Studies in computational intelligence ;v.877..

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:

843680
Diffusion magnetic resonance imaging.

LC Class. No.: RC78.7.N83 / S544 2020

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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520 $a 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.
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