Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Brain Imaging

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Longitudinal FreeSurfer with non-linear subject-specific template improves sensitivity to cortical thinning.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026

Same author

Improved, rapid fetal-brain localization and orientation detection for auto-slice prescription.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026

Same author

Fast, automated slice prescription of standard anatomical planes for fetal brain MRI.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026

Same author

Learning-based segmentation of diffusion-weighted MR images with arbitrary <i>q</i>-space samplings.

Imaging neuroscience (Cambridge, Mass.)·2026

Same author

MR software tools for real-time decision making and FOV prescription.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026

Same author

FastSurfer-CC: A robust, accurate, and comprehensive framework for corpus callosum morphometry.

Imaging neuroscience (Cambridge, Mass.)·2026

Same journal

LiftReg: Limited Angle 2D/3D Deformable Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Inverse Consistency by Construction for Multistep Deep Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Can Crowdsourced Annotations Improve AI-based Congestion Scoring For Bedside Lung Ultrasound?

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Equivariant Filters for Efficient Tracking in 3D Imaging.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

Lobar Lung Density Embeddings with a Transformer encoder (LobTe) to predict emphysema progression in COPD.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

Same journal

uniGradICON: A Foundation Model for Medical Image Registration.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 22, 2026

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

BrainPrint: identifying subjects by their brain.

Christian Wachinger, Polina Golland, Martin Reuter

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|October 17, 2014

Summary

This summary is machine-generated.

BrainPrint is a novel method for brain anatomy analysis. This automated technique accurately identifies individuals from MRI scans using unique anatomical features, achieving over 99.8% accuracy.

More Related Videos

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

Published on: August 26, 2011

Related Experiment Videos

Last Updated: Apr 22, 2026

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions

Published on: July 6, 2011

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

Brain Imaging Investigation of the Neural Correlates of Emotional Autobiographical Recollection

Published on: August 26, 2011

Area of Science:

Neuroimaging
Computational anatomy
Biomedical engineering

Background:

Accurate identification of individuals from brain scans is crucial for various applications.
Existing methods may lack efficiency or robustness in capturing unique anatomical information.
Large-scale neuroimaging datasets require automated and discriminative analysis tools.

Purpose of the Study:

To introduce BrainPrint, a compact and discriminative representation for brain anatomical structures.
To develop an automated classifier for subject identification using BrainPrint.
To evaluate the performance of BrainPrint on a large dataset of MRI scans.

Main Methods:

BrainPrint captures shape information of cortical and subcortical structures.
Utilizes the 2D and 3D Laplace-Beltrami operator on triangular and tetrahedral meshes.
Employs a robust classifier for subject identification based on the BrainPrint representation.

Main Results:

BrainPrint achieves over 99.8% accuracy in correctly classifying subjects from MRI scans.
Demonstrates that BrainPrint captures unique subject-specific anatomical information.
The processing pipeline for BrainPrint is fully automated.

Conclusions:

BrainPrint offers a compact and highly discriminative method for brain anatomy analysis.
The automated nature of BrainPrint makes it suitable for large-scale neuroimaging datasets.
BrainPrint enables robust and accurate subject identification from MRI scans.