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OverviewThis 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. Full Product DetailsAuthor: Mohammad ShehabPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 2020 ed. Volume: 877 Weight: 0.454kg ISBN: 9783030360856ISBN 10: 3030360857 Pages: 157 Publication Date: 29 November 2020 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction Of Diffusion MRI and Cuckoo Search Algorithm.- Background Of Diffusion MRI.- Cuckoo Search Algorithm.- Methodology Of Extracting The Odf Maxima Using Csa.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |