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Related Concept Videos

X-ray Imaging01:24

X-ray Imaging

German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with X-rays, and by 1900, X-ray was widely...

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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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MilxXplore: a web-based system to explore large imaging datasets.

P Bourgeat1, V Dore, V L Villemagne

  • 1CSIRO Preventative Health National Research Flagship ICTC, The Australian e-Health Research Centre, Royal Brisbane and Women's Hospital, Herston, Queensland, Australia.

Journal of the American Medical Informatics Association : JAMIA
|June 19, 2013
PubMed
Summary
This summary is machine-generated.

MilxXplore is an open-source platform for efficient quality control of large-scale medical imaging studies. It enables collaborative review and reporting of automated image analysis results, facilitating data sharing and open science initiatives.

Keywords:
Image processingReporting

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Area of Science:

  • Medical Imaging
  • Computational Biology
  • Data Science

Background:

  • Large-scale medical imaging studies necessitate automated software for quantitative information extraction.
  • Increasing cohort sizes demand efficient tools for quality checking, tagging, and reporting of automated image analysis results, especially for problematic cases.

Purpose of the Study:

  • To introduce MilxXplore, an open-source visualization platform designed for efficient quality control and reporting in large-scale medical imaging studies.
  • To provide a user-friendly, collaborative, and efficient interface for navigating and exploring imaging data and analysis results.

Main Methods:

  • MilxXplore is an open-source visualization platform accessible via a web browser.
  • It offers an interface for users to navigate and explore imaging data.
  • The platform supports quality control and reporting functionalities.

Main Results:

  • MilxXplore pools results from individual subjects and time points, enabling efficient navigation and comparison across acquisitions and populations.
  • It facilitates remote quality checks of processed imaging data.
  • The platform is fast, flexible, and easily integrated into cloud computing pipelines.

Conclusions:

  • MilxXplore enhances the efficiency of quality control and reporting for large-scale medical imaging studies.
  • It promotes data sharing and collaboration across multiple locations, supporting open data and open science trends.
  • The platform is crucial for sharing and publishing imaging analysis results in the era of big data.