Artificial Intelligence in Diffusion MRI
Produktnummer:
185ef2c479d17949b68e97ff337fbf2b98
| Autor: | Shehab, Mohammad |
|---|---|
| Themengebiete: | Bat Algorithm Cuckoo Search Algorithm Hill Climbing Magnetic Resonance Imaging Orientation Distribution Function Q-Ball Imaging Tournament Selection Scheme |
| Veröffentlichungsdatum: | 29.11.2020 |
| EAN: | 9783030360856 |
| Sprache: | Englisch |
| Seitenzahl: | 157 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer International Publishing |
| Untertitel: | Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function |
Produktinformationen "Artificial Intelligence in Diffusion MRI"
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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