PASTA: pointwise assessment of streamline tractography attributes
Autor: | Carlo Pierpaoli, Peter J. Basser, Greg Eden, Adam R. Travis, Derek K. Jones |
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Rok vydání: | 2005 |
Předmět: |
Pointwise
Brain Mapping business.industry Computer science Visualization Identification (information) User-Computer Interface Diffusion Magnetic Resonance Imaging Imaging Three-Dimensional Nerve Fibers Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Point (geometry) Computer vision Artificial intelligence business Diffusion MRI Graphical user interface TRACE (psycholinguistics) Tractography |
Zdroj: | Magnetic resonance in medicine. 53(6) |
ISSN: | 0740-3194 |
Popis: | Diffusion tensor MRI tractography aims to reconstruct noninvasively the 3D trajectories of white matter fasciculi within the brain, providing neuroscientists and clinicians with a potentially useful tool for mapping brain architecture. While this technique is widely used to visualize white matter pathways, the associated uncertainty in fiber orientation and artifacts have, to date, not been visualized in conjunction with the trajectory data. In this work, the bootstrap method was used to determine the distributions of diffusion indices such as trace and anisotropy, together with the uncertainty in fiber orientation. A novel visualization scheme was developed to encode this information at each point along reconstructed trajectories. By integrating these schemes into a graphical user interface, a new tool which we call PASTA (Pointwise Assessment of Streamline Tractography Attributes) was created to facilitate identification of artifacts in tractography that would otherwise go undetected. |
Databáze: | OpenAIRE |
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