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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 19, 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

System for integrated neuroimaging analysis and processing of structure.

Bennett A Landman1, John A Bogovic, Aaron Carass

  • 1Department of Electrical Engineering, Vanderbilt University, Nashville, TN 37235-1679, USA. bennett.landman@vanderbilt.edu

Neuroinformatics
|August 31, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a new multi-parametric MRI analysis method for brain mapping. The CRUISE technique integrates structural, diffusion, and functional imaging for comprehensive neurological insights.

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Last Updated: May 19, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Published on: November 8, 2012

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Published on: June 26, 2013

Area of Science:

  • Neuroimaging
  • Brain Mapping
  • Computational Neuroscience

Background:

  • Mapping brain structure and function is crucial for understanding neurological development, plasticity, and disease.
  • Current MRI analysis often focuses on single imaging modalities, limiting comprehensive insights.
  • Advances in structural connectivity, segmentation, and functional imaging offer new avenues for in vivo brain analysis.

Purpose of the Study:

  • To extend the Cortical Reconstruction Using Implicit Surface Evolution (CRUISE) methodology for multi-parametric brain analysis.
  • To develop an efficient, consistent, and topologically correct approach for integrating diverse neuroimaging data.
  • To enable simultaneous analysis of structural, diffusion, and functional imaging data.

Main Methods:

  • Extended the CRUISE methodology to handle multi-parametric data natively.
  • Integrated structural and diffusion MRI with quantitative and functional imaging data.
  • Employed advanced techniques for cortical surface extraction, labeling, diffusion tractography, and subcortical parcellation.

Main Results:

  • Demonstrated robust and consistent estimates for cortical surface extraction and labeling.
  • Achieved reliable diffusion-inferred contrasts and diffusion tractography.
  • Showcased accurate subcortical parcellation using a scan-rescan paradigm.
  • Presented a fully automated software system with validation data.

Conclusions:

  • The extended CRUISE methodology enables efficient and accurate multi-parametric brain analysis.
  • Simultaneous integration of diverse imaging modalities enhances the understanding of the brain's structure-function relationship.
  • The developed automated software system provides a validated tool for advanced neuroimaging research.