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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).

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Related Experiment Video

Updated: May 23, 2026

Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis
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Semi-Quantitative Determination of Dopaminergic Neuron Density in the Substantia Nigra of Rodent Models using Automated Image Analysis

Published on: February 2, 2021

Quantitative approaches to dopaminergic brain imaging.

K Tatsch1, G Poepperl

  • 1Department of Nuclear Medicine, Municipal Hospital, Karlsruhe Inc., Karlsruhe, Germany. Klaus.Tatsch@klinikum-karlsruhe.de

The Quarterly Journal of Nuclear Medicine and Molecular Imaging : Official Publication of the Italian Association of Nuclear Medicine (AIMN) [And] the International Association of Radiopharmacology (IAR), [And] Section of the Society Of
|March 31, 2012
PubMed
Summary

Dopaminergic brain imaging is now a routine tool for diagnosing neuropsychiatric diseases. Quantitative methods are increasingly important for detecting subtle changes in dopaminergic functions, especially with SPECT imaging.

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Area of Science:

  • Neuroscience
  • Medical Imaging

Background:

  • Dopaminergic pathway dysfunction is implicated in neuropsychiatric disorders.
  • Advancements in radioligands and imaging technology (SPECT, PET/CT) have expanded dopaminergic brain imaging applications.
  • There is a growing need for sensitive diagnostic tools to detect early-stage neuro-psychiatric diseases.

Purpose of the Study:

  • To review the evolution of quantitative methods in dopaminergic brain imaging.
  • To highlight the increasing importance of quantification for early and preclinical disease detection.
  • To focus on Single-Photon Emission Computed Tomography (SPECT) methodologies due to their clinical relevance.

Main Methods:

  • Overview of quantitative techniques, from manual ratios to automated methods.
  • Discussion of corrections for physical imaging parameters (scatter, partial volume effects).
  • Inclusion of voxel-based analysis and kinetic modeling approaches.

Main Results:

  • Quantitative tools offer more detailed information than visual assessments.
  • Automated methodologies and advanced analysis techniques are improving diagnostic accuracy.
  • SPECT imaging plays a crucial role in the clinical application of dopaminergic brain imaging.

Conclusions:

  • Quantification of dopaminergic functions is essential for modern neuro-psychiatric diagnostics.
  • Standardization and harmonization of imaging protocols are vital for reliable results.
  • Development of reference databases is important for interpreting quantitative imaging data.