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Related Concept Videos

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

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Related Experiment Video

Updated: Jun 8, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

A framework for using diffusion weighted imaging to improve cortical parcellation.

Matthew J Clarkson1, Ian B Malone, Marc Modat

  • 1Centre for Medical Image Computing, University College London, WC1E 6BT, UK.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 1, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for brain parcellation, improving anatomical labeling by integrating brain connectivity data. The method accurately refines cortical maps for better analysis of brain structure and function.

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Last Updated: Jun 8, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Anatomical MRI

Background:

  • Accurate cortical parcellation is crucial for analyzing brain structure and function.
  • Current methods may lack precision in mapping anatomical labels to functional data.
  • Understanding regional changes in brain aging and neurodegeneration requires precise parcellation.

Purpose of the Study:

  • To present a novel algorithm for iterative cortical parcellation refinement.
  • To integrate diffusion-weighted imaging (DWI) derived connectivity information into the parcellation process.
  • To establish a framework for investigating structure-function relationships without predefined regions of interest.

Main Methods:

  • Development of an iterative algorithm to update cortical parcellations.
  • Utilizing diffusion-weighted imaging to derive brain connectivity data.
  • Demonstration on a cohort of 17 healthy controls.

Main Results:

  • The algorithm successfully recovered artificially induced mis-registrations in cortical parcellations.
  • The iterative process demonstrated convergence towards a group-wise average parcellation.
  • Preliminary results validate the algorithm's ability to refine anatomical labels based on connectivity.

Conclusions:

  • The novel algorithm provides a robust framework for enhancing cortical parcellation accuracy.
  • Integrating connectivity data improves the anatomical precision of brain mapping.
  • This approach facilitates the investigation of brain structure-function relationships in various neurological conditions.