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Artificial Intelligence in Diffusion MRI
shehab mohammad
151,98 €
144,38 €
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TRAMA
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.SOMMARIO
Introduction Of Diffusion MRI and Cuckoo Search Algorithm.- Background Of Diffusion MRI.- Cuckoo Search Algorithm.- Methodology Of Extracting The Odf Maxima Using Csa.ALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9783030360825
- Collana: Studies in Computational Intelligence
- Dimensioni: 235 x 155 mm
- Formato: Copertina rigida
- Illustration Notes: XVII, 157 p. 61 illus., 54 illus. in color.
- Pagine Arabe: 157
- Pagine Romane: xvii