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'The surface management system' (SuMS) database: a surface-based database to aid cortical surface reconstruction,

J Dickson1, H Drury, D C Van Essen

  • 1Department of Anatomy and Neurobiology, Washington University School of Medicine, St Louis, MO 63110, USA.

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|September 8, 2001
PubMed
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A new Surface Management System (SuMS) addresses neuroinformatics challenges by organizing complex cerebral cortex surface data. This system enables efficient storage, retrieval, and management of diverse neuroimaging datasets for the neuroscience community.

Area of Science:

  • Neuroscience
  • Neuroimaging
  • Computational Neuroscience

Background:

  • Cerebral cortex surface reconstructions are vital for analyzing structure, function, and connectivity.
  • Neuroinformatics faces challenges with diverse surface data configurations and experimental data representation.

Purpose of the Study:

  • To develop a systematic framework for managing complex surface-related datasets in neuroscience.
  • To address challenges in storing, retrieving, and classifying diverse cortical surface data.

Main Methods:

  • Developed a Surface Management System (SuMS) for automated data storage and retrieval.
  • Implemented a systematic classification framework for surface and volume data.
  • Integrated database management for rapid search and retrieval with security levels.
Keywords:
NASA Discipline NeuroscienceNon-NASA Center

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Main Results:

  • SuMS provides a version-control system for large surface and volume datasets.
  • WebSuMS and client software offer multiplatform, multi-user access.
  • The system acts as a 'surface request broker' for neuroscience research.

Conclusions:

  • SuMS offers a robust solution for managing complex neuroimaging surface data.
  • The system enhances data accessibility and organization for collaborative neuroscience research.
  • SuMS facilitates efficient analysis and visualization of cortical data.