Models: Signal Representation vs. Microstructural Models

Publication date

2024-12-28

Authors

De Luca, AlbertoORCID 0000-0002-2553-7299
Froeling, MartijnORCID 0000-0003-3841-0497
Leemans, AlexanderORCID 0000-0002-9306-6126ISNI 0000000394149633

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Document Type

Part of book

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taverne

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.

Keywords

Advanced diffusion models, Diffusion MRI, Diffusion tensor imaging, Microstructural models, Signal representations, Taverne, General Engineering, General Medicine, General Physics and Astronomy

Citation

De Luca, A, Froeling, M & Leemans, A 2024, Models : Signal Representation vs. Microstructural Models. in A Practical Guide to Advanced Diffusion MRI. Springer, pp. 83-110. https://doi.org/10.1007/978-3-031-70337-9_4