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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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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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Imaging Studies IV: Magnetic Resonance Imaging

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Related Experiment Video

Updated: Mar 31, 2026

Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping
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Author Spotlight: Insights into Visual Cortex Research Through Wide-View fMRI Mapping

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Pycortex: an interactive surface visualizer for fMRI.

James S Gao1, Alexander G Huth2, Mark D Lescroart2

  • 1Vision Science Program, University of California Berkeley, Berkeley, CA, USA.

Frontiers in Neuroinformatics
|October 21, 2015
PubMed
Summary
This summary is machine-generated.

PyCortex is a new Python toolbox for fMRI surface mapping. It offers accurate visualization and interactive tools, improving understanding of brain activity and anatomy.

Keywords:
WebGLdata sharingfMRIpythonvisualization

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Visualization

Background:

  • Surface visualizations of functional Magnetic Resonance Imaging (fMRI) offer insights into cortical activity but face challenges.
  • Current methods often use interpolation, reducing map fidelity and hindering the understanding of 3D anatomy-to-surface relationships.

Purpose of the Study:

  • To develop an improved method for generating accurate and interactive surface visualizations of fMRI data.
  • To address limitations in current fMRI visualization techniques regarding data fidelity and anatomical correlation.

Main Methods:

  • Developed pyCortex, a Python toolbox utilizing modern graphics cards for per-pixel sampling of volumetric fMRI data.
  • Implemented interactive inflation and flattening of cortical surfaces for enhanced anatomical and functional data projection.
  • Enabled WebGL-based output for browser-based visualization without software installation.

Main Results:

  • PyCortex enables dense and accurate mapping of voxel data onto cortical surfaces.
  • Interactive tools facilitate the interpretation of relationships between flattened surfaces and 3D anatomy.
  • Web-based sharing of complex fMRI surface maps is achieved.

Conclusions:

  • PyCortex provides a powerful and accessible solution for fMRI surface mapping and visualization.
  • The toolbox enhances the fidelity and interpretability of neuroimaging data.
  • Facilitates broader dissemination of fMRI findings through web compatibility.