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Magnetic Resonance Imaging01:24

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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A database for medical image management.

Esperanza Marcos1, César J Acuña, Belén Vela

  • 1Kybele Research Group, Rey Juan Carlos University, Móstoles, Madrid, Spain. esperanza.marcos@urjc.es <esperanza.marcos@urjc.es>

Computer Methods and Programs in Biomedicine
|April 28, 2007
PubMed
Summary

MEDIMAN, a medical image management system, was developed using a model-driven framework. Its database design addressed unique challenges for neuroscience research and clinical trials.

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Area of Science:

  • Medical Informatics
  • Neuroscience Research
  • Clinical Trials Data Management

Background:

  • Medical image management is crucial for neuroscience research and clinical trials.
  • Existing systems often face challenges in handling diverse medical imaging data.
  • Web Information Systems (WIS) offer a potential solution for centralized data management.

Purpose of the Study:

  • To describe the development of the MEDIMAN (Medical Image MANagement) system.
  • To focus on the database design and development process for MEDIMAN.
  • To highlight the solutions to unique database challenges encountered during development.

Main Methods:

  • Utilized Midas, a model-driven framework for WIS development.
  • Employed a structured database development process.
  • Documented specific design decisions made throughout the development lifecycle.

Main Results:

  • Successfully developed MEDIMAN, a functional web information system for medical image management.
  • Addressed and overcame significant database design challenges specific to medical imaging.
  • MEDIMAN is currently operational in multiple Spanish medical and research centers.

Conclusions:

  • Model-driven development frameworks like Midas are effective for WIS creation.
  • Careful consideration of database design is essential for specialized systems like MEDIMAN.
  • MEDIMAN provides a valuable tool for neuroscientists and clinicians managing medical image data.