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A Neuroimaging Web Services Interface as a Cyber Physical System for Medical Imaging and Data Management in Brain

Gabriel Lizarraga1, Chunfei Li1, Mercedes Cabrerizo1

  • 1Center for Advanced Technology and Education, Computer Science, Florida International University, Miami, FL, United States.

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|April 28, 2018
PubMed
Summary

This study introduces the Neuroimaging Web Services Interface, a unified platform for processing and visualizing brain imaging data. It offers a standardized cyber physical system for neuroimaging research, enhancing data consistency and accessibility.

Keywords:
neuroimagingmultimodal imagingmagnetic resonance imagingimage processingpositron-emission tomographydiffusion tensor imaginginformation storage and retrievaldiagnostic imaging

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Area of Science:

  • Neuroimaging
  • Medical Image Analysis
  • Cyber Physical Systems

Background:

  • Brain imaging analysis relies on visual inspection, which can be biased.
  • Existing neuroimaging software is complex, hardware-intensive, and lacks cross-platform compatibility.
  • A need exists for a standardized platform for neuroimaging data processing and analysis.

Purpose of the Study:

  • To develop a common platform for storing, processing, exploring, and visualizing neuroimaging data and results.
  • To create a cyber physical system for neuroimaging and clinical data in brain research.
  • To address the neuroimaging community's need for a unified data analysis solution.

Main Methods:

  • The Neuroimaging Web Services Interface accepts various imaging modalities (MRI, PET, DTI, fMRI).
  • Data processing utilizes existing and custom software, with outputs stored in multiple formats (image files, tables, MySQL).
  • The system is a secure, password-protected web interface with interconnected servers for data visualization and download.

Main Results:

  • The platform ensures data validity and consistency through centralized processing.
  • It supports multimodal imaging (MRI, PET, DTI, fMRI) and integrates with FreeSurfer.
  • The system has been validated using Alzheimer’s Disease Neuroimaging Initiative data and used by leading researchers.

Conclusions:

  • The Neuroimaging Web Services Interface is a novel, validated web-based system for multimodal neuroimaging.
  • It provides a valuable tool for clinicians and researchers, particularly for Alzheimer's disease research.
  • The platform facilitates informed diagnosis and research by enabling detailed data scrutiny and visualization.