Visualizing neuronal structures in the human brain via diffusion tensor MRI

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

Abstract

Acquisition, analysis, and visualization of diffusion tensor magnetic resonance imaging (DT-MRI) is still an evolving technology. This article reviews the fundamentals of the data acquisition process and the pipeline leading to visual results that are interpretable by physicians in their clinical practice. The limitations of common approaches for visualizing the retrieved data are discussed and a new statistical method is presented to assess the reliability of the acquired tensor field. A novel visualization method is proposed which is discussed in light of neurophysiological considerations of the perception of colored patterns. It is argued that this method is more accurate for medical data while providing a nearly optimal visual stimulus. The method is evaluated on a patient study with a brain tumor.

Details

Original languageEnglish
Pages (from-to)461-514
Number of pages54
JournalInternational Journal of Neuroscience
Volume116
Issue number4
Publication statusPublished - Apr 2006
Peer-reviewedYes

External IDs

PubMed 16574582
ORCID /0000-0001-8204-5699/work/153107185

Keywords

ASJC Scopus subject areas

Keywords

  • Brain tumor study, Diffusion-tensor imaging, Model validation, Neuroradiology, Neurosurgery, Pattern recognition, Statistical analysis, Tensor field visualization