volBrain: An Online MRI Brain Volumetry System
José V Manjón1, Pierrick Coupé2
1Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València Valencia, Spain.
Frontiers in Neuroinformatics
|August 12, 2016
Summary
This study introduces a new, automated pipeline for volumetric brain analysis using multi-atlas label fusion. The volBrain web tool offers accurate brain measurements quickly, aiding neurological disease research.
Area of Science:
- Neuroimaging
- Medical Image Analysis
- Computational Neuroscience
Background:
- Rapid growth in medical imaging data necessitates advanced analysis tools.
- Accurate quantitative analysis, including segmentation, is crucial for understanding brain development and neurological diseases.
- Non-linear warping and label fusion techniques have shown promise in medical image analysis.
Purpose of the Study:
- To present a novel, fully automatic pipeline for volumetric brain analysis.
- To leverage multi-atlas label fusion technology for detailed volumetric information.
- To provide a publicly accessible tool for the scientific community.
Main Methods:
- Development of a fully automatic pipeline for volumetric brain analysis.
- Implementation of multi-atlas label fusion technology.
- Creation of the volBrain online web interface for public access.
Main Results:
- The pipeline provides accurate volumetric information at various detail levels rapidly.
- The volBrain web interface offers free and public access to the method.
- The framework demonstrates competitive results compared to state-of-the-art methods.
Conclusions:
- The novel pipeline offers an efficient and accurate solution for volumetric brain analysis.
- The volBrain web interface democratizes access to advanced neuroimaging analysis tools.
- This approach facilitates research into brain development and neurological disorders.
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