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Related Concept Videos

Brain Imaging01:14

Brain Imaging

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 Stimulation (TMS).
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...
Anatomy of the Brain: Major Regions01:20

Anatomy of the Brain: Major Regions

The brain is the most complex organ in the human body. It consists of four main parts: the cerebrum, diencephalon, cerebellum, and brainstem.
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Related Experiment Video

Updated: Jul 6, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
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Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease

Published on: June 9, 2018

Brain atlases and neuroanatomic imaging.

Allan MacKenzie-Graham1, Jyl Boline, Arthur W Toga

  • 1Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, CA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|March 28, 2008
PubMed
Summary
This summary is machine-generated.

This study presents a new method for creating minimum deformation atlases (MDAs) from brain imaging data. These atlases help quantify anatomical variations in animal populations, crucial for studying genetic manipulations or diseases.

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Published on: May 12, 2019

Area of Science:

  • Neuroimaging
  • Computational Anatomy
  • Biomedical Engineering

Background:

  • Quantifying anatomical variations in animal populations due to genetic manipulation or disease is challenging.
  • Probabilistic brain atlases can capture population variability in structural imaging.
  • Minimum deformation atlases (MDAs) offer an unbiased approach to representing anatomical averages.

Purpose of the Study:

  • To describe a novel method for generating a minimum deformation atlas (MDA) from magnetic resonance microscopy images.
  • To enable the quantification of anatomical variations in animal populations.

Main Methods:

  • Image segmentation and bias field correction to isolate brain tissue and remove inhomogeneities.
  • Linear alignment to a representative scan, calculating the geometric mean of transformations.
  • Non-linear alignment to a minimum deformation target (MDT) to create the MDA.
  • Final linear alignment to the MDA for spatial and intensity normalization.

Main Results:

  • A robust method for generating MDAs from magnetic resonance microscopy data was established.
  • The method allows for the retention of anatomically significant differences while normalizing global variations.
  • The generated MDA serves as a standardized reference for population variability.

Conclusions:

  • The described method provides a powerful tool for analyzing anatomical differences in animal populations.
  • MDAs generated using this technique can enhance the study of genetic effects and diseases on brain structure.
  • This approach facilitates more accurate quantification of neuroanatomical variability.