Visualizing neuronal structures in the human brain via diffusion tensor MRI
Research output: Contribution to journal › Review article › Contributed › peer-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 language | English |
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Pages (from-to) | 461-514 |
Number of pages | 54 |
Journal | International Journal of Neuroscience |
Volume | 116 |
Issue number | 4 |
Publication status | Published - Apr 2006 |
Peer-reviewed | Yes |
External IDs
PubMed | 16574582 |
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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