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

Assessment of blood pressure in brachial artery(two-step method)01:23

Assessment of blood pressure in brachial artery(two-step method)

2.1K
Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...
2.1K
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

3.0K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
3.0K
Assessment of blood pressure in brachial artery(one-step method)01:15

Assessment of blood pressure in brachial artery(one-step method)

1.4K
This procedural guide systematically measures blood pressure using an oscillometric digital sphygmomanometer, emphasizing accuracy, patient safety, and comfort.
Prepare for the Procedure:
1.4K
Special considerations while measuring pulse01:13

Special considerations while measuring pulse

1.0K
Assessing a patient's pulse is a fundamental skill in healthcare, but certain situations require special attention:
1.0K
Pulse01:16

Pulse

2.5K
When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical...
2.5K
Assessment of apical radial pulse01:25

Assessment of apical radial pulse

1.6K
Apical-Radial (A-R) Pulse Assessment
The A-R pulse assessment involves simultaneous evaluation of the apical and radial pulses. When the apical and radial pulse rates vary, this assessment helps identify a pulse deficit.
Pre-Procedural Preparation
1.6K

You might also read

Related Articles

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

Sort by
Same author

Corrigendum to "4D Flow cardiovascular magnetic resonance consensus statement: 2023 update" [Journal of Cardiovascular Magnetic Resonance 25 (2023) 40].

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2026
Same author

A Reference-Free Lens-Flare-Aware Detector for Autonomous Driving.

Sensors (Basel, Switzerland)·2026
Same author

MRI-based CFD simulations of transient blood flow in compliant aortas using the LDDMM framework.

Computer methods and programs in biomedicine·2026
Same author

Free-Breathing 3D Whole Heart and Aorta Cine MRI Without Contrast Agent-Comparison to Clinical Standard.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Rapid development of extensive myocardial calcification in a diabetic patient with multi-organ failure: a case report.

European heart journal. Case reports·2026
Same author

Combining deep learning with statistical shape modelling enables automated lower limb measurements with observer-level reliability using weight-bearing computed tomography.

Journal of experimental orthopaedics·2026
Same journal

Multimodal clinical data integration for prognosis of pulmonary embolism: A comparative study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Continual test-time adaptation via weight averaging of feature augmentations in cross-domain medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

A lightweight network for segmenting tree-like structures in medical images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

RGCNN-nnUNet: Recurrent group equivariant nnU-Net for robust brain tissue segmentation on stroke NCCT.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

Self-supervised isotropic reconstruction for abnormality detection in anisotropic MRI.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
Same journal

WDBDM: Wavelet-based dual-branch diffusion model for low-dose CT and PET denoising.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026
See all related articles

Related Experiment Video

Updated: May 4, 2026

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
06:08

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging

Published on: February 7, 2014

16.8K

Robust segmentation methods with an application to aortic pulse wave velocity calculation.

Danilo Babin1, Daniel Devos2, Aleksandra Pižurica1

  • 1Department of Telecommunications and Information Processing - TELIN-IPI-iMinds, Faculty of Sciences, Ghent University, Sint-Pietersnieuwstraat 41, B-9000 Ghent, Belgium.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|January 11, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a new image processing toolbox for calculating aortic stiffness using magnetic resonance imaging (MRI). The novel method accurately measures pulse wave velocity (PWV) and aortic distensibility, crucial for cardiovascular health assessment.

Keywords:
Image segmentationMultiscale segmentationPulse wave velocity

More Related Videos

Ultrasound-based Pulse Wave Velocity Evaluation in Mice
08:07

Ultrasound-based Pulse Wave Velocity Evaluation in Mice

Published on: February 14, 2017

13.5K
Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
06:04

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

1.7K

Related Experiment Videos

Last Updated: May 4, 2026

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging
06:08

Pulse Wave Velocity Testing in the Baltimore Longitudinal Study of Aging

Published on: February 7, 2014

16.8K
Ultrasound-based Pulse Wave Velocity Evaluation in Mice
08:07

Ultrasound-based Pulse Wave Velocity Evaluation in Mice

Published on: February 14, 2017

13.5K
Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
06:04

Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome

Published on: September 27, 2024

1.7K

Area of Science:

  • Cardiovascular imaging and analysis
  • Medical image processing
  • Biomedical engineering

Background:

  • Aortic stiffness is a key indicator of cardiovascular disease and overall cardiovascular health.
  • Pulse wave velocity (PWV) and aortic distensibility are vital measures of aortic stiffness and elasticity.
  • Accurate measurement of PWV and distensibility from MRI requires robust segmentation and signal processing.

Purpose of the Study:

  • To present a novel, robust image processing toolbox for calculating aortic stiffness (PWV and distensibility) from MRI data.
  • To develop advanced segmentation techniques for accurate thoraco-abdominal aorta centerline extraction and transverse aortic region delineation.
  • To introduce a new method for analyzing velocity curves to determine pulse wave propagation times.

Main Methods:

  • A novel graph-based method for 3D thoraco-abdominal aorta centerline extraction from non-contrasted abdominal MRI.
  • A new projection-based segmentation method for transverse aortic region delineation in cardiac MRI, robust to artifacts.
  • A novel method for velocity curve analysis to obtain pulse wave propagation times.
  • Validation against manual segmentations and a validated software for PWV measurement.

Main Results:

  • The developed toolbox provides a complete solution for aortic PWV and distensibility calculation.
  • The graph-based centerline extraction is robust to artifacts and noise.
  • The projection-based segmentation effectively delineates aortic regions even with high artifact presence.
  • Validation demonstrated high correctness and effectiveness of the proposed methods.

Conclusions:

  • The novel image processing toolbox offers a correct and effective approach for calculating aortic PWV and distensibility from MRI.
  • The developed segmentation techniques are robust and suitable for clinical application in cardiovascular assessment.
  • This work advances non-invasive methods for evaluating aortic stiffness and cardiovascular health.