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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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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

Diffusion tensor imaging-based research on human white matter anatomy.

Ming-guo Qiu1, Jing-na Zhang, Ye Zhang

  • 1Department of Medical Informatics and Medical Image, College of Biomedical Engineering and Medical Imaging, Third Military Medical University, Chongqing 400038, China. qiumingguo@yahoo.com

Thescientificworldjournal
|December 11, 2012
PubMed
Summary
This summary is machine-generated.

Diffusion tensor imaging (DTI) effectively visualizes white matter tracts, like the corticospinal tract, for neurosurgical planning. This study confirms DTI

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10:05

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Published on: August 26, 2014

Area of Science:

  • Neuroimaging
  • Neuroanatomy
  • Medical Physics

Background:

  • Accurate anatomical data of white matter tracts is crucial for neurosurgical planning.
  • Diffusion Tensor Imaging (DTI) offers a non-invasive method to visualize white matter architecture.

Purpose of the Study:

  • To investigate white matter using DTI and the Chinese Visible Human dataset.
  • To generate 3D anatomical data of the corticospinal tract for neurosurgical planning.
  • To assess the reproducibility of corticospinal tract mapping using probabilistic maps.

Main Methods:

  • Acquired diffusion tensor images and T1-weighted images from 15 healthy volunteers.
  • Processed DTI data using DtiStudio and FSL software.
  • Compared fractional anisotropy (FA) maps with the Chinese Visible Human dataset and generated 3D probability maps.

Main Results:

  • DTI-generated fiber tracts showed strong consistency with anatomical references.
  • Three-dimensional white matter architecture was clearly visualized.
  • Generated 3D probability maps demonstrated intersubject reproducibility.

Conclusions:

  • DTI is a reliable method for studying brain white matter connectivity.
  • Probability maps enhance corticospinal tract identification in DTI.
  • This approach provides valuable anatomical information for preoperative planning and risk assessment.