Multimodal Brain Visualization
| Autor: | Arie E. Kaufman, Saad Nadeem |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
Current (mathematics) Computer science 02 engineering and technology Image (mathematics) 03 medical and health sciences 0302 clinical medicine Computer Science - Graphics Neuroimaging 0202 electrical engineering electronic engineering information engineering medicine Diffusion Tractography medicine.diagnostic_test business.industry 020207 software engineering Brain visualization Magnetic resonance imaging Pattern recognition Human brain Graphics (cs.GR) Visualization medicine.anatomical_structure FOS: Biological sciences Quantitative Biology - Neurons and Cognition Neurons and Cognition (q-bio.NC) Artificial intelligence business 030217 neurology & neurosurgery |
| Zdroj: | Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging |
| Popis: | Current connectivity diagrams of human brain image data are either overly complex or overly simplistic. In this work we introduce simple yet accurate interactive visual representations of multiple brain image structures and the connectivity among them. We map cortical surfaces extracted from human brain magnetic resonance imaging (MRI) data onto 2D surfaces that preserve shape (angle), extent (area), and spatial (neighborhood) information for 2D (circular disk) and 3D (spherical) mapping, split these surfaces into separate patches, and cluster functional and diffusion tractography MRI connections between pairs of these patches. The resulting visualizations are easier to compute on and more visually intuitive to interact with than the original data, and facilitate simultaneous exploration of multiple data sets, modalities, and statistical maps. SPIE Medical Imaging 2016, Proc. SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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