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

You might also read

Related Articles

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

Sort by

Same author

Patient-Specific Sensor Registration for Electrical Source Imaging Using a Deformable Head Model.

IEEE transactions on bio-medical engineering·2020

Same author

A Simulation Framework for Benchmarking EEG-Based Brain Connectivity Estimation Methodologies.

Brain topography·2016

Same author

Self-Consistent MUSIC: An approach to the localization of true brain interactions from EEG/MEG data.

NeuroImage·2015

Same author

Wedge MUSIC: a novel approach to examine experimental differences of brain source connectivity patterns from EEG/MEG data.

NeuroImage·2014

Same author

Univariate normalization of bispectrum using Hölder's inequality.

Journal of neuroscience methods·2014

Same author

The effect of placebo adherence on reducing cardiovascular mortality: a meta-analysis.

Clinical research in cardiology : official journal of the German Cardiac Society·2013

Same journal

Lifespan Trajectories of the Brain's Functional Complexity Characterized by Multiscale Sample Entropy.

NeuroImage·2026

Same journal

Pleasant fragrance modulates dyadic social sharing of positive emotion: Sharer-centered socioemotional enhancement effect and its neural couplings.

NeuroImage·2026

Same journal

Altered Functional Hierarchical and Sequential Organization in Individuals with Schizophrenia during Auditory Processing.

NeuroImage·2026

Same journal

Mechanical Deformation Explains Distinct Neuroimaging Patterns and Etiologies in Brain Trauma.

NeuroImage·2026

Same journal

Ventral striatum temporal interference brain stimulation enhances the reward-positivity event-related potential and reduces anxiety.

NeuroImage·2026

Same journal

NeuroHarm‑Kit: An Open‑Source Toolbox for Benchmarking Deep‑Learning Harmonization of Multi‑Site T1‑Weighted MRI.

NeuroImage·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 2, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Shape-constrained deformable brain segmentation: Methods and quantitative validation.

Lyubomir Zagorchev¹, Damon E Hyde¹, Chen Li¹

¹ClearPoint Neuro, Clinical Science and Applications, 120 S. Sierra Ave., Suite 100, Solana Beach, 92075, CA, USA.

|February 18, 2024

Summary

This summary is machine-generated.

This study introduces ClearPoint Maestro, a novel software for automatic brain segmentation in MRI scans. Its shape-constrained method offers superior accuracy and reproducibility for neurosurgical planning and evaluation.

Keywords:

ClearPoint Maestro Minimally invasive neuro interventions Shape-constrained deformable models

More Related Videos

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Jul 2, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

A Standardized Pipeline for Examining Human Cerebellar Grey Matter Morphometry using Structural Magnetic Resonance Imaging

Published on: February 4, 2022

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

Published on: January 7, 2019

Area of Science:

Medical Imaging
Neuroscience
Computational Anatomy

Background:

Accurate segmentation of brain structures is crucial for MRI-guided neuro interventions.
Existing segmentation methods require validation for clinical use.

Purpose of the Study:

Introduce and validate a shape-constrained deformable brain segmentation methodology.
Compare its performance against manual segmentation and FreeSurfer.

Main Methods:

Developed ClearPoint Maestro software for fully-automatic brain segmentation from T1-weighted MRI.
Combined shape-constrained deformable models with voxel-wise tissue segmentation.
Validated accuracy against training data and ground truth; quantified reproducibility.

Main Results:

The shape-constrained methodology yields accurate and highly reproducible brain segmentation.
ClearPoint Maestro demonstrated superior quantitative reproducibility compared to manual segmentation and FreeSurfer.
Inherent point-based correspondence ensures consistent target identification.

Conclusions:

Shape-constrained deformable segmentation is accurate and reproducible for clinical neuro interventions.
ClearPoint Maestro offers a validated, automated solution for brain segmentation.
The software facilitates consistent target identification essential for MRI-guided procedures.