Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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

Limbic System Microstructure in Neonates With Antenatal Opioid Exposure.

JAMA network open·2026
Same author

Diminished Late Gestation Placental Volume in Fetal Heart Disease and Implications for Birth Anthropometrics.

Journal of cardiovascular development and disease·2026
Same author

Perceived Control in the NICU: Implications for Maternal Mental Health and Parenting in the NICU.

Psychology research and behavior management·2026
Same author

Depressive Symptoms Associated with Decreased Choline Intake in Lactating Mothers of Preterm Infants.

Nutrients·2026
Same author

The developing relationship between circadian rhythm and heart rate variability in premature infants.

Clinical autonomic research : official journal of the Clinical Autonomic Research Society·2026
Same author

Antenatal Opioid Exposure and Cerebral Cortical Maturation in Newborns.

JAMA network open·2026

Related Experiment Video

Updated: Mar 17, 2026

In Utero Electroporation of Multiaddressable Genome-Integrating Color MAGIC Markers to Individualize Cortical Mouse Astrocytes
06:47

In Utero Electroporation of Multiaddressable Genome-Integrating Color MAGIC Markers to Individualize Cortical Mouse Astrocytes

Published on: May 21, 2020

6.1K

Unsupervised fetal cortical surface parcellation.

Sonia Dahdouh1, Catherine Limperopoulos1

  • 1Children's national medical center, 111 Michigan Ave NW, Washington DC 20010, USA.

Proceedings of Spie--The International Society for Optical Engineering
|July 15, 2016
PubMed
Summary

This study introduces a new method for fetal brain parcellation using only geometrical features, overcoming limitations of traditional atlas-based approaches for developing brains. This technique enables reliable segmentation of fetal cortical surfaces from MRI data.

More Related Videos

Ex utero Electroporation and Whole Hemisphere Explants: A Simple Experimental Method for Studies of Early Cortical Development
13:47

Ex utero Electroporation and Whole Hemisphere Explants: A Simple Experimental Method for Studies of Early Cortical Development

Published on: April 3, 2013

13.4K
2D and 3D Human Induced Pluripotent Stem Cell-Based Models to Dissect Primary Cilium Involvement during Neocortical Development
14:19

2D and 3D Human Induced Pluripotent Stem Cell-Based Models to Dissect Primary Cilium Involvement during Neocortical Development

Published on: March 25, 2022

4.5K

Related Experiment Videos

Last Updated: Mar 17, 2026

In Utero Electroporation of Multiaddressable Genome-Integrating Color MAGIC Markers to Individualize Cortical Mouse Astrocytes
06:47

In Utero Electroporation of Multiaddressable Genome-Integrating Color MAGIC Markers to Individualize Cortical Mouse Astrocytes

Published on: May 21, 2020

6.1K
Ex utero Electroporation and Whole Hemisphere Explants: A Simple Experimental Method for Studies of Early Cortical Development
13:47

Ex utero Electroporation and Whole Hemisphere Explants: A Simple Experimental Method for Studies of Early Cortical Development

Published on: April 3, 2013

13.4K
2D and 3D Human Induced Pluripotent Stem Cell-Based Models to Dissect Primary Cilium Involvement during Neocortical Development
14:19

2D and 3D Human Induced Pluripotent Stem Cell-Based Models to Dissect Primary Cilium Involvement during Neocortical Development

Published on: March 25, 2022

4.5K

Area of Science:

  • Neuroimaging
  • Computational Anatomy
  • Medical Image Analysis

Background:

  • Atlas-based brain parcellation is crucial for neuroimaging studies of brain development.
  • Traditional methods struggle with fetal MRI due to inconsistent anatomical features during gestation.
  • Existing techniques fail to provide reliable parcellations for the developing fetal brain.

Purpose of the Study:

  • To develop a novel surface-based framework for fetal cortical parcellation.
  • To overcome the limitations of anatomical feature-based methods in fetal neuroimaging.
  • To create a reliable parcellation scheme based solely on learned geometrical features.

Main Methods:

  • A mesh signature incorporating extrinsic and intrinsic geometrical features was developed.
  • A clustering scheme was used to define the parcellation based on the mesh signature.
  • A Random Forest (RF) learning approach refined the parcellation, with an alpha-expansion graph-cut scheme for further optimization.
  • A probability map from RF inference served as the data term in graph-cut, with a smoothness term learned from dihedral angles.

Main Results:

  • The proposed framework successfully parcellates fetal brain surfaces using only geometrical features.
  • Qualitative and quantitative assessments demonstrated reliable results on both healthy and high-risk fetal cohorts.
  • The method shows promise for accurate segmentation of the developing fetal brain.

Conclusions:

  • This novel surface-based approach provides a reliable method for fetal brain parcellation.
  • The framework effectively utilizes learned geometrical features, circumventing the need for consistent anatomical landmarks.
  • The study highlights the potential of geometry-driven methods for analyzing dynamic structures like the fetal brain.