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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 English Computing & information technology Computer science Artificial intelligence

• Full title: Artificial Intelligence in Diffusion MRI
• Subtitle: Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function
• Author: Mohammad Shehab
• Language: English
• Binding: Hardback
• Number of pages: 157
• EAN: 9783030360825
• ID: 25137147
• Publisher: Springer Nature Switzerland AG
• Weight: 454 g
• Dimensions: 235 × 155 × 15 mm
• Date of publishing: 29. November 2019

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