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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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Related Experiment Video

Updated: May 2, 2026

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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[Analysis and visualization of diffusion tensor MRI].

Seiji Kumazawa1

  • 1Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan.

Igaku Butsuri : Nihon Igaku Butsuri Gakkai Kikanshi = Japanese Journal of Medical Physics : an Official Journal of Japan Society of Medical Physics
|March 6, 2014
PubMed
Summary

Diffusion MRI offers insights into tissue microstructure by analyzing water movement. This technique is crucial for understanding tissue composition and developing new imaging applications.

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Area of Science:

  • Neuroimaging
  • Biophysics
  • Medical Physics

Context:

  • Magnetic resonance imaging (MRI) is a powerful diagnostic tool.
  • Water diffusion provides insights into tissue microstructure and composition.
  • Diffusion MRI is a rapidly developing field with significant potential.

Purpose:

  • To provide a general overview of diffusion MRI.
  • To explain key concepts, data acquisition, analysis, and visualization methods.
  • To highlight the relevance of diffusion tensor MRI for studying tissue microstructure.

Summary:

  • Diffusion MRI leverages water diffusion contrast mechanisms to probe microscopic tissue geometry.
  • The article details diffusion MRI data acquisition, analysis, and visualization techniques.
  • Diffusion tensor MRI is presented as a key method for microstructure investigation.

Impact:

  • Enhances understanding of tissue microstructure and composition.
  • Facilitates the development of novel MRI applications.
  • Provides a foundational resource for researchers and clinicians in diffusion MRI.