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Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
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Web based brain volume calculation for magnetic resonance images.

Kevin Karsch1, Brian Grinstead, Qing He

  • 1Department of Computer Science, University of Missouri, Columbia, MO 65201, USA. krkq35@mizzou.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary

We developed an accessible web tool to calculate total brain volume (TBV) and intracranial volume (ICV) from MRI data. This simplifies brain volume analysis for neurodevelopmental disorder research.

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Area of Science:

  • Neuroimaging
  • Medical Informatics
  • Biomedical Engineering

Background:

  • Accurate brain volume quantification is essential for neurodevelopmental disorder research.
  • Existing methods may require specialized software and technical expertise.
  • Standardized and accessible tools are needed for broader research application.

Purpose of the Study:

  • To present a novel algorithm for calculating total brain volume (TBV) and intracranial volume (ICV).
  • To develop a user-friendly, web-based interface for public access to the brain volume calculation algorithm.
  • To streamline the process of obtaining TBV and ICV from MRI data.

Main Methods:

  • Algorithm development for brain volume calculation using MRI data.
  • Implementation of preprocessing and intermediate steps for accurate volume estimation.
  • Creation of a web-based interface for data upload and automated TBV/ICV calculation.

Main Results:

  • Successful implementation of an algorithm to compute TBV and ICV.
  • Development of a publicly accessible web interface for the algorithm.
  • Demonstration of a simplified and efficient method for brain volume analysis.

Conclusions:

  • The developed algorithm and web interface provide an accessible and efficient solution for calculating TBV and ICV.
  • This tool can facilitate research in neurodevelopmental disorders by simplifying neuroimaging data analysis.
  • Public accessibility removes barriers to entry for researchers needing brain volume metrics.