Artificial Intelligence in Diffusion MRI

by Mohammad Shehab

Estimated delivery 3-12 business days

Format Paperback

Condition Brand New

Description (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;

Publisher Description

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. 

Details

  • ISBN 3030360857
  • ISBN-13 9783030360856
  • Title Artificial Intelligence in Diffusion MRI
  • Author Mohammad Shehab
  • Format Paperback
  • Year 2020
  • Pages 157
  • Edition 1st
  • Publisher Springer Nature Switzerland AG
GE_Item_ID:137849807;

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