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

Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

259
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
259
State Space Representation01:27

State Space Representation

593
The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
593
Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

221
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
221
Control Volume and System Representations01:16

Control Volume and System Representations

1.6K
Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water...
1.6K
Ogive Graph01:07

Ogive Graph

6.8K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.8K
Graphing Antiderivatives01:30

Graphing Antiderivatives

76
The concept of an antiderivative is fundamental in calculus, describing how a function's values accumulate over time. This process is closely related to physical motion, such as the movement of a rolling ball. As the ball progresses, its position changes in response to variations in velocity, just as an antiderivative graph reflects the cumulative effect of the original function's values.Graphing an antiderivative requires interpreting how a function's values influence the shape of its...
76

You might also read

Related Articles

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

Sort by
Same author

New Growth, New Opportunities.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

Influence of early through late fusion on pancreas segmentation from imperfectly registered multimodal magnetic resonance imaging.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

White matter hyperintensities and relapse risk in late-life depression.

Journal of affective disorders·2025
Same author

Unsupervised discovery of clinical disease signatures using probabilistic independence.

Journal of biomedical informatics·2025
Same author

Multi-contrast computed tomography atlas of healthy pancreas with dense displacement sampling registration.

Journal of medical imaging (Bellingham, Wash.)·2025
Same author

The effect of Alzheimer's disease genetic factors on limbic white matter microstructure.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025

Related Experiment Video

Updated: Feb 8, 2026

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
06:03

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

848

TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction.

Ilwoo Lyu, Sun Hyung Kim, Neil D Woodward

    IEEE Transactions on Medical Imaging
    |July 4, 2018
    PubMed
    Summary

    This study introduces a novel topological graph method for automatic sulcal curve extraction (TRACE) in brain imaging. TRACE enhances accuracy and noise robustness in cortical shape analysis, outperforming existing methods.

    More Related Videos

    Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP
    08:14

    Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP

    Published on: April 20, 2015

    18.3K
    Fabrication of a Dipole-assisted Solid Phase Extraction Microchip for Trace Metal Analysis in Water Samples
    09:42

    Fabrication of a Dipole-assisted Solid Phase Extraction Microchip for Trace Metal Analysis in Water Samples

    Published on: August 7, 2016

    9.1K

    Related Experiment Videos

    Last Updated: Feb 8, 2026

    AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells
    06:03

    AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

    Published on: June 23, 2023

    848
    Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP
    08:14

    Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP

    Published on: April 20, 2015

    18.3K
    Fabrication of a Dipole-assisted Solid Phase Extraction Microchip for Trace Metal Analysis in Water Samples
    09:42

    Fabrication of a Dipole-assisted Solid Phase Extraction Microchip for Trace Metal Analysis in Water Samples

    Published on: August 7, 2016

    9.1K

    Area of Science:

    • Neuroscience
    • Medical Image Analysis
    • Computational Anatomy

    Background:

    • Accurate geometric representation of cortical regions is crucial for brain shape analysis and landmark identification.
    • Convoluted cortical folding patterns present significant challenges for automated analysis.
    • Noise from image acquisition and surface reconstruction complicates reliable sulcal feature extraction.

    Purpose of the Study:

    • To propose a novel topological graph representation for automatic sulcal curve extraction (TRACE).
    • To enhance the robustness and reproducibility of sulcal curve extraction in the presence of surface noise.
    • To provide a method for precise cortical shape analysis and landmark identification.

    Main Methods:

    • Developed a topological graph representation for brain cortical regions.
    • Employed a line simplification method to identify stable sulcal fundic regions, preserving folding patterns.
    • Utilized Dijkstra's shortest path algorithm on the graph to trace sulcal curves.

    Main Results:

    • TRACE demonstrated higher reproducibility and robustness to noise compared to existing methods.
    • Achieved over 20% relative improvement in error reduction across different surface reconstruction pipelines.
    • Extracted sulcal curves showed excellent alignment with manually delineated curves.

    Conclusions:

    • TRACE offers a significant advancement in automatic sulcal curve extraction for cortical shape analysis.
    • The method's noise resilience and accuracy make it valuable for neuroimaging research.
    • Parameter selection in TRACE allows for control over the quality of extracted sulcal curves.