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

Automated Abdominal Aortic Aneurysm segmentation using MATLAB.

Thomas R Schei1, Steven Barrett, Darrell Jones

  • 1Electrical and Computer Engineering Department, University of Wyoming, Laramie, WY 82071, USA. tschei@uwyo.edu

Biomedical Sciences Instrumentation
|May 3, 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

Digital App for Speech and Health Monitoring Study (DASH): protocol for a prospective longitudinal case-control observational study for developing speech datasets in neurodegenerative disorders and dementia.

BMJ open·2025
Same author

The effects of indoor temperature and humidity on local transmission of COVID-19 and how it relates to global trends.

PloS one·2022
Same author

An Integrated Assessment of Emissions, Air Quality, and Public Health Impacts of China's Transition to Electric Vehicles.

Environmental science & technology·2022
Same author

Impact of medication review, within a shared decision-making framework, on deprescribing in people living in care homes.

European journal of hospital pharmacy : science and practice·2019
Same author

The costs of production of alternative jet fuel: A harmonized stochastic assessment.

Bioresource technology·2016
Same author

A clinico-ethical framework for multidisciplinary review of medication in nursing homes.

BMJ quality improvement reports·2016
Same journal

EFFECT OF FILTERING KINEMATICS ON FINITE ELEMENT SIMULATIONS OF HEAD IMPACTS IN HIGH SCHOOL FEMALE LACROSSE.

Biomedical sciences instrumentation·2026
Same journal

INHIBITING THE INHIBITOR: WOULD TARGETING PAI-1 RESULT IN A LOW-DOSE, WELL-TOLERATED TREATMENT OF EMPYEMA?

Biomedical sciences instrumentation·2026
Same journal

QUANTIFYING HEAD IMPACT EXPOSURE, MECHANISMS AND KINEMATICS USING INSTRUMENTED MOUTHGUARDS IN MALE HIGH SCHOOL LACROSSE.

Biomedical sciences instrumentation·2026
Same journal

UTILITY OF CHEST ULTRASONOGRAPHY IN QUANTIFYING CLOT AND PLEURAL EFFUSION VOLUME IN PRECLINICAL MODELS OF PLEURAL DISEASE.

Biomedical sciences instrumentation·2026
Same journal

THE ROLE OF PERIPHERAL VISION IN ENHANCING BALANCE AND POSTURAL STABILITY: INSIGHTS FROM CENTRAL VISION OBSTRUCTION.

Biomedical sciences instrumentation·2025
Same journal

IMPACT OF NON-SKID SOCKS AND ANTERIOR WEIGHT ON POSTURAL RESPONSE AND STABILITY DURING PERTURBATION.

Biomedical sciences instrumentation·2025
See all related articles

Computer algorithms can now measure thrombus load in abdominal aortic aneurysms (AAA). This image processing technique aids in detecting threatening AAA conditions, improving patient risk assessment.

Area of Science:

  • Medical imaging
  • Computational pathology
  • Cardiovascular research

Background:

  • Abdominal aortic aneurysms (AAA) are a significant cause of mortality in older men, with rupture risk increasing with age.
  • Current methods struggle to quantify thrombus load within AAA, hindering accurate risk assessment.
  • Thrombus accumulation is suspected to influence AAA expansion and rupture.

Purpose of the Study:

  • To develop and present a computer-based image processing technique for segmenting thrombus and aneurysmal areas from CT images.
  • To aid in the detection of threatening abdominal aortic aneurysm conditions.
  • To provide a quantitative measure of thrombus load within AAAs.

Main Methods:

  • Utilized MATLAB for image processing and algorithm development.

Related Experiment Videos

  • Employed segmentation-based techniques, including thresholding, erosion, and dilation filters.
  • Developed a process to segment the relative thrombus area and aneurysmal area from CT scans.

    • Main Results:

    • Successfully developed an image processing technique to segment thrombus and aneurysmal areas.
    • The algorithm effectively isolates areas of interest for quantitative analysis.
    • Provides a method to measure thrombus load, which is difficult with traditional methods.

    Conclusions:

    • The developed image processing technique offers a novel approach to quantifying thrombus load in AAAs.
    • This method can aid clinicians in assessing AAA severity and predicting rupture risk.
    • Further development could enhance the detection and management of abdominal aortic aneurysms.