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

Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

450
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
450
Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies01:20

Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies

400
The key difference between Superficial Vein Thrombosis (SVT) and Deep Vein Thrombosis (DVT) lies in their location and severity.Clinical ManifestationsSVT typically presents with localized pain, tenderness, and redness along the course of a superficial vein, often accompanied by a palpable, cord-like structure under the skin. This condition is usually less dangerous than DVT but can be uncomfortable and may lead to complications such as cellulitis or, rarely, a clot extension into the deep...
400
Computed Tomography01:10

Computed Tomography

9.2K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.2K

You might also read

Related Articles

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

Sort by
Same author

Two-year outcomes of fenestrated and branched stent grafts in patients ≤65 years: A bicenter retrospective study.

Journal of vascular surgery cases and innovative techniques·2026
Same author

First report of robot-assisted surgical resection of the first rib via a posterior approach for the treatment of thoracic outlet syndrome.

Journal of thoracic disease·2026
Same author

Effect of a home-based calf neuromuscular electrical stimulation program on walking capacity in adults with lower-extremity PAD: the ELECTRO-PAD RCT.

European journal of preventive cardiology·2026
Same author

Fenestrated Endovascular Aortic Repair and Open Surgical Repair in Patients with Type Ia Endoleak after Endovascular Aneurysm Repair: a French Multicentre Cohort Study with Propensity Score Matching.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2025
Same author

Anatomical Factors Influencing Catheterization Time in FEVAR Procedures (KT-FEVAR Study).

Annals of vascular surgery·2025
Same author

Improved Mechanical Support Parametrization to Predict the Renal Ostia Displacement Induced by Tools Insertion in EVAR.

International journal for numerical methods in biomedical engineering·2025
Same journal

Contactless robotic system for linear catheter advancement using magnetic actuation.

International journal of computer assisted radiology and surgery·2026
Same journal

Sound source localization for spatial mapping of surgical actions in dynamic scenes.

International journal of computer assisted radiology and surgery·2026
Same journal

ESD-VesNet: uncertainty-aware vessel segmentation network for endoscopic submucosal dissection with hard negative mining.

International journal of computer assisted radiology and surgery·2026
Same journal

Lean Unet: a compact model for image segmentation.

International journal of computer assisted radiology and surgery·2026
Same journal

Strain alignment: toward assessing mechanical plausibility of predicted displacement fields.

International journal of computer assisted radiology and surgery·2026
Same journal

Vascular geometry characterization for AI-based endovascular navigation.

International journal of computer assisted radiology and surgery·2026
See all related articles

Related Experiment Video

Updated: Mar 3, 2026

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli
13:10

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli

Published on: September 25, 2016

10.4K

Generic thrombus segmentation from pre- and post-operative CTA.

Florent Lalys1, Vincent Yan2, Adrien Kaladji3

  • 1Therenva, 4 rue Jean Jaures, 35000, Rennes, France. florent.lalys@therenva.com.

International Journal of Computer Assisted Radiology and Surgery
|April 30, 2017
PubMed
Summary
This summary is machine-generated.

A new 3D segmentation method accurately identifies thrombus in abdominal aortic aneurysms (AAA) from CT scans. This versatile approach aids pre-operative planning and post-operative assessment, improving patient care.

Keywords:
AAAEVAREndovascular proceduresIliac arteryThrombus segmentation

More Related Videos

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

18.0K
Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
06:29

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques

Published on: June 11, 2019

11.3K

Related Experiment Videos

Last Updated: Mar 3, 2026

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli
13:10

Combined Near-infrared Fluorescent Imaging and Micro-computed Tomography for Directly Visualizing Cerebral Thromboemboli

Published on: September 25, 2016

10.4K
A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
10:26

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis

Published on: June 2, 2015

18.0K
Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques
06:29

Cardiac Magnetic Resonance for the Evaluation of Suspected Cardiac Thrombus: Conventional and Emerging Techniques

Published on: June 11, 2019

11.3K

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Vascular Surgery

Background:

  • Abdominal aortic aneurysm (AAA) involves artery enlargement and thrombus formation.
  • Accurate thrombus segmentation is crucial for pre-operative risk assessment and post-operative monitoring.
  • Computed tomography angiography (CTA) is a key imaging modality for AAA.

Purpose of the Study:

  • To present a generic, near-automatic 3D segmentation approach for thrombus in AAA patients.
  • To enable precise patient-specific thrombus segmentation from CTA scans.
  • To support pre-operative planning and post-operative assessment of endovascular procedures.

Main Methods:

  • Developed a versatile thrombus segmentation approach using centerline detection, lumen segmentation, and a 3D deformable model.
  • The method requires minimal user interaction and is designed for broad applicability.
  • Tested on diverse datasets from 145 patients with varying AAA characteristics and image qualities.

Main Results:

  • The algorithm achieved highly accurate thrombus segmentation, comparable to manual delineations across various datasets.
  • Demonstrated versatility across different patient and imaging conditions, with no significant precision differences.
  • Outperformed the level-set algorithm in segmentation accuracy, with an average processing time of [Formula: see text].

Conclusions:

  • Presented a near-automatic and generic thrombus segmentation algorithm for AAA.
  • The algorithm is robust across a wide range of patient and imaging variability.
  • The method is compatible with clinical workflows for endovascular planning and assessment.