NDLI: Human Brain Functional MRI and DTI Visualization With Virtual Reality

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Chen, Bin Moreland, John Zhang, Jingyu
Copyright Year	2011
Abstract	Magnetic resonance diffusion tensor imaging (DTI) and functional MRI (fMRI) are two active research areas in neuroimaging. DTI is sensitive to the anisotropic diffusion of water exerted by its macromolecular environment and has been shown useful in characterizing structures of ordered tissues such as the brain white matter, myocardium, and cartilage. The diffusion tensor provides two new types of information of water diffusion: the magnitude and the spatial orientation of water diffusivity inside the tissue. This information has been used for white matter fiber tracking to review physical neuronal pathways inside the brain. Functional MRI measures brain activations using the hemodynamic response. The statistically derived activation map corresponds to human brain functional activities caused by neuronal activities. The combination of these two methods provides a new way to understand human brain from the anatomical neuronal fiber connectivity to functional activities between different brain regions. In this study, virtual reality (VR) based MR DTI and fMRI visualization with high resolution anatomical image segmentation and registration, ROI definition and neuronal white matter fiber tractography visualization and fMRI activation map integration is proposed. Rationale and methods for producing and distributing stereoscopic videos are also discussed.
Starting Page	343
Ending Page	349
Page Count	7
File Format	PDF
ISBN	9780791844328
DOI	10.1115/WINVR2011-5565
Conference Proceedings	ASME 2011 World Conference on Innovative Virtual Reality
Language	English
Publisher Date	2011-06-27
Publisher Place	Milan, Italy
Access Restriction	Subscribed
Subject Keyword	Human brain visualization Stereoscopic 3d visualization Brain Visualization Magnetic resonance imaging Virtual reality
Content Type	Text
Resource Type	Article

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