UID:
almahu_9948204162302882
Format:
XVII, 157 p. 61 illus., 54 illus. in color.
,
online resource.
Edition:
1st ed. 2020.
ISBN:
9783030360832
Series Statement:
Studies in Computational Intelligence, 877
Content:
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. .
Note:
Introduction Of Diffusion MRI and Cuckoo Search Algorithm -- Background Of Diffusion MRI -- Cuckoo Search Algorithm -- Methodology Of Extracting The Odf Maxima Using Csa.
In:
Springer eBooks
Additional Edition:
Printed edition: ISBN 9783030360825
Additional Edition:
Printed edition: ISBN 9783030360849
Additional Edition:
Printed edition: ISBN 9783030360856
Language:
English
DOI:
10.1007/978-3-030-36083-2
URL:
https://doi.org/10.1007/978-3-030-36083-2
