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Book synopsis

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.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Full title: Artificial Intelligence in Diffusion MRI
• Author: Mohammad Shehab
• Language: English
• Binding: Paperback
• Number of pages: 157
• EAN: 9783030360856
• ISBN: 3030360857
• ID: 33456531
• Publisher: Springer Nature Switzerland AG
• Weight: 454 g
• Dimensions: 235 × 155 × 10 mm
• Date of publishing: 29. November 2020

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