Models: Signal Representation vs. Microstructural Models

Alberto De Luca*, Martijn Froeling, Alexander Leemans

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Since the introduction of diffusion tensor imaging (DTI), the diffusion MRI community has proven particularly prolific in introducing hundreds of new approaches to address some of the limitations of DTI. Particularly, new approaches have focused on leveraging modern diffusion MRI acquisitions to extract additional tissue properties compared to DTI, and to disentangle the orientation of complex fiber configurations. These efforts can typically be grouped into three categories: signal representations, microstructural models, and model free approaches. This chapter presents some popular approaches from the three categories and discusses how to acquire diffusion MRI data that satisfies the needs of such more advanced models.

Original languageEnglish
Title of host publicationA Practical Guide to Advanced Diffusion MRI
PublisherSpringer
Pages83-110
Number of pages28
ISBN (Electronic)9783031703379
ISBN (Print)9783031703362
DOIs
Publication statusPublished - 28 Dec 2024

Keywords

  • Advanced diffusion models
  • Diffusion MRI
  • Diffusion tensor imaging
  • Microstructural models
  • Signal representations

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