Tensors for neuroimaging

A review on applications of tensors to unravel the mysteries of the brain

Book Chapter (2022)
Author(s)

A. Erol (TU Delft - Signal Processing Systems)

Borbala Hunyadi (TU Delft - Signal Processing Systems)

Research Group
Signal Processing Systems
DOI related publication
https://doi.org/10.1016/B978-0-12-824447-0.00018-2
More Info
expand_more
Publication Year
2022
Language
English
Research Group
Signal Processing Systems
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
427-482
ISBN (print)
9780323859653
ISBN (electronic)
978-0-12-824447-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Neuroimaging techniques are used to image the structure and function of the nervous system for medicine, psychology, and neuroscience research. Brain data are inherently multidimensional and complex, and the recent advances in neuroimaging allow the acquisition of brain signals at an increasing spatiotemporal resolution. Being able to process the resulting large-scale data and capturing the multiway structure of the brain, tensor-based analyses are well suited for a variety of neuroimaging applications. In this review, we provide a comprehensive overview of successful tensor-based solutions used in the field of neuroimaging discuss practical challenges and the future of tensors in medical technology.

Files

Tensors_for_Data_Processing_Th... (pdf)
(pdf | 3.18 Mb)
- Embargo expired in 11-05-2022
License info not available