Artificial Intelligence in Diffusion MRI
Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function
(Sprache: Englisch)
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)...
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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.
Inhaltsverzeichnis zu „Artificial Intelligence in Diffusion MRI “
Introduction Of Diffusion MRI and Cuckoo Search Algorithm.- Background Of Diffusion MRI.- Cuckoo Search Algorithm.- Methodology Of Extracting The Odf Maxima Using Csa.Bibliographische Angaben
- Autor: Mohammad Shehab
- 2019, 1st ed. 2020, XVII, 157 Seiten, 54 farbige Abbildungen, Masse: 16,1 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030360822
- ISBN-13: 9783030360825
Sprache:
Englisch
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