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

Simpson's Rule II

Simpson's Rule II

In warehouse roofing applications, corrugated or curved metal sheets are commonly used to improve structural strength, water drainage, and ventilation efficiency. To accurately estimate material requirements and optimize design parameters, engineers must determine the curved surface area of these sheets. Because the sheet profiles often repeat smoothly along their length, they can be effectively approximated by parabolic curves, enabling the use of numerical integration techniques for area...

Shape and Texture of Coarse Aggregate

Shape and Texture of Coarse Aggregate

Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...

You might also read

Related Articles

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

Sort by

Same author

An Unsupervised Approach for Artifact Severity Scoring in Multi-Contrast MR Images.

Proceedings of machine learning research·2026

Same author

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026

Same author

DSHARP: Deep Incompressible Motion Estimation with Sinusoidal-transformed Harmonic Phase for Tagged MRI.

IEEE transactions on medical imaging·2026

Same author

Editorial for the Special Issue on Harmonization Techniques for MRI.

NeuroImage·2026

Same author

ECLARE: efficient cross-planar learning for anisotropic resolution enhancement.

Journal of medical imaging (Bellingham, Wash.)·2026

Same author

UNISELF: A unified network with instance normalization and self-ensembled lesion fusion for multiple sclerosis lesion segmentation.

Medical image analysis·2026

Search research articles

Related Experiment Video

Updated: Mar 19, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

Automatic Sulcal Curve Extraction with MRF Based Shape Prior.

Zhen Yang¹, Aaron Carass¹, Jerry L Prince¹

¹Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA 21218.

Proceedings. IEEE International Symposium on Biomedical Imaging

|June 16, 2016

Summary

This summary is machine-generated.

This study introduces an automated method for extracting human brain sulcal curves, significantly reducing annotation time in neuroscience research. The novel approach uses landmark points and a Markov random field for accurate curve identification.

Keywords:

Markov random field Sulcal curve extraction cortical surface point set registration shape prior

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Related Experiment Videos

Last Updated: Mar 19, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Area of Science:

Neuroscience
Medical Image Analysis
Computational Anatomy

Background:

Manual annotation of human cerebral cortex sulcal curves is crucial for neuroscience research but is labor-intensive.
Developing automated methods can accelerate the analysis of brain structures and functions.

Purpose of the Study:

To present an automated method for extracting sulcal curves on the human cerebral cortex.
To improve the efficiency and accuracy of sulcal curve annotation for neuroscience studies.

Main Methods:

Registration of dense landmark points representing sulcal curves to the subject's cortical surface.
Utilizing a Markov random field to model the prior distribution of landmark points, preserving both local curve structure and global context.
Validation through a leave-one-out cross-validation strategy on fifteen cortical surfaces.

Main Results:

Successful automatic extraction of sulcal curves from cortical surfaces.
Quantitative error analysis demonstrating the accuracy of the extracted major sulcal curves.
The method effectively models curve structure and global context using Markov random fields.

Conclusions:

The proposed automatic sulcal curve extraction method offers a time-efficient alternative to manual annotation.
This technique facilitates more rapid and potentially more consistent analysis in neuroscience studies.
The use of Markov random fields provides a robust framework for modeling complex anatomical structures like sulcal curves.