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 Experiment Videos

A geometric deformable model for echocardiographic image segmentation.

X Hang1, N L Greenberg, J D Thomas

  • 1Ohio State University, USA. hang.7@osu.edu

Computers in Cardiology
|December 23, 2003
PubMed
Summary
This summary is machine-generated.

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

Developmental ethanol exposure produces deficits in long-term potentiation in vivo that persist following postnatal choline supplementation.

Alcohol, clinical & experimental research·2024
Same author

Opioid prescribing practices and patient-requested refill patterns following laparoscopic inguinal hernia repair.

Hernia : the journal of hernias and abdominal wall surgery·2022
Same author

Ileus rate after abdominal wall reconstruction: a retrospective analysis of two clinical trials.

Hernia : the journal of hernias and abdominal wall surgery·2022
Same author

Report of a Case of Rupture of the Male Urethra.

Atlanta medical and surgical journal (1884)·2022
Same author

The effects of prenatal nicotine and THC E-cigarette exposure on motor development in rats.

Psychopharmacology·2022
Same author

Comparing rates of bowel injury for laparoscopic and robotic ventral hernia repair: a retrospective analysis of the abdominal core health quality collaborative.

Hernia : the journal of hernias and abdominal wall surgery·2022
Same journal

An Anisotropic Fluid-Solid Model of the Mouse Heart.

Computers in cardiology·2019
Same journal

Electrographic Response of the Heart to Myocardial Ischemia.

Computers in cardiology·2016
Same journal

Similarity-Based Searching in Multi-Parameter Time Series Databases.

Computers in cardiology·2010
Same journal

Predicting Acute Hypotensive Episodes: The 10th Annual PhysioNet/Computers in Cardiology Challenge.

Computers in cardiology·2010
Same journal

An Artificial Multi-Channel Model for Generating Abnormal Electrocardiographic Rhythms.

Computers in cardiology·2010
Same journal

An Open-Source Standard T-Wave Alternans Detector for Benchmarking.

Computers in cardiology·2010
See all related articles

Gradient vector flow (GVF) enhances deformable models for boundary detection. This study introduces a new geometric model combining GVF and geodesic active contours for improved echocardiographic image segmentation.

Area of Science:

  • Medical imaging
  • Image processing
  • Computational anatomy

Background:

  • Parametric deformable models are crucial for image segmentation.
  • Gradient vector flow (GVF) offers robust boundary detection capabilities.
  • Accurate segmentation of echocardiographic images is vital for cardiac diagnostics.

Purpose of the Study:

  • To propose a novel geometric deformable model integrating GVF and geodesic active contours.
  • To enhance the accuracy and robustness of echocardiographic image segmentation.
  • To leverage the strengths of GVF for capturing complex object boundaries.

Main Methods:

  • The proposed model combines Gradient Vector Flow (GVF) with the geodesic active contour model.
  • The Level Set method is employed as the numerical framework for model implementation.
Keywords:
NASA Discipline CardiopulmonaryNASA Program Biomedical Research and CountermeasuresNon-NASA Center

Related Experiment Videos

  • The model is specifically applied to the segmentation of echocardiographic images.

    • Main Results:

    • The integrated model effectively captures object boundaries from both sides.
    • The proposed method demonstrates improved performance in segmenting echocardiographic images.
    • The Level Set numerical approach ensures stable and accurate model evolution.

    Conclusions:

    • The novel geometric deformable model integrating GVF and geodesic active contours offers a powerful tool for echocardiographic image segmentation.
    • This approach enhances boundary detection and segmentation accuracy in medical imaging.
    • The Level Set method provides a reliable numerical solution for the proposed model.