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Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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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Ultrasonography

Ultrasonography is an imaging technique that uses high-frequency sound waves to visualize the body's internal structures. It is a non-invasive and safe procedure that does not involve the use of ionizing radiation, making it widely used in various medical fields. Ultrasonography is used to study heart function, blood flow in the neck or extremities, certain conditions such as gallbladder disease, and fetal growth and development.
During an ultrasonography procedure, a handheld device called a...

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Related Experiment Video

Updated: Jun 22, 2026

Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition
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Troubleshooting and Quality Assurance in Hyperpolarized Xenon Magnetic Resonance Imaging: Tools for High-Quality Image Acquisition

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A quality-refinement process for medical imaging applications.

J Neuhaus1, D Maleike, M Nolden

  • 1Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany. j.neuhaus@dkfz-heidelberg.de

Methods of Information in Medicine
|June 6, 2009
PubMed
Summary
This summary is machine-generated.

A lightweight software quality refinement process was developed for research groups, enabling prototypes for clinical studies with minimal extra effort. This process successfully identified and fixed 107 bugs across eight projects.

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Area of Science:

  • Software Engineering
  • Medical Informatics
  • Clinical Research

Background:

  • Research software prototypes require quality refinement for clinical studies.
  • Traditional quality management processes are often too burdensome for research environments.

Purpose of the Study:

  • To introduce and evaluate a lightweight software quality refinement process tailored for research groups.
  • To prepare existing research prototypes for initial clinical studies.

Main Methods:

  • Focusing on stage-specific quality criteria for software development.
  • Utilizing automated tools to streamline the quality improvement process.
  • Applying the process to eight prototypical medical image processing software modules.

Main Results:

  • The quality refinement process enabled all prototypes to be successfully used in clinical studies.
  • An average of 13 person-days of additional effort per project was required.
  • A total of 107 bugs were identified and resolved.

Conclusions:

  • A carefully selected set of quality criteria and automated tools create a lightweight process.
  • This process is suitable for scientific research groups, facilitating the transfer of prototypes into clinical workflows.