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 II:Types of Echocardiography01:20

Imaging Studies for Cardiovascular System II:Types of Echocardiography

Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for diagnosing...

You might also read

Related Articles

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

Sort by
Same author

Echocardiographic guidance in transcatheter tricuspid valve interventions.

Journal of cardiovascular imaging·2026
Same author

Thermoresponsive and xenon-triggered gate-opening in flexible three-dimensional covalent organic framework for selective xenon capture.

Nature communications·2026
Same author

Redo Transcatheter Aortic Valve Replacement for Degenerated Valve With High-Risk Coronary Anatomy.

JACC. Case reports·2026
Same author

Balloon-Assisted Leaflet Laceration Using Modified UNICORN Technique in Native Valve TAVR.

JACC. Case reports·2026
Same author

BUB1 in cancer genetics and oncogenomics: from chromosomal instability to therapeutic vulnerabilities.

Frontiers in genetics·2026
Same author

Guidelines for the Intraprocedural Imaging for Mitral Valve Transcatheter Edge-to-Edge Repair (M-TEER): Recommendations from the American Society of Echocardiography.

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography·2026

Related Experiment Video

Updated: May 28, 2026

Three-Dimensional Echocardiographic Method for the Visualization and Assessment of Specific Parameters of the Pulmonary Veins
06:48

Three-Dimensional Echocardiographic Method for the Visualization and Assessment of Specific Parameters of the Pulmonary Veins

Published on: October 28, 2020

Regurgitation quantification using 3D PISA in volume echocardiography.

Leo Grady1, Saurabh Datta, Oliver Kutter

  • 1Siemens Corporate Research, Princeton, NJ, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 19, 2011
PubMed
Summary

This study introduces a novel 3D ultrasound system for measuring proximal isovelocity surface area (PISA) to assess heart valve function. The new workflow offers a faster, automated method for diagnosing valve regurgitation accurately.

More Related Videos

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
11:16

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

Published on: February 25, 2022

Related Experiment Videos

Last Updated: May 28, 2026

Three-Dimensional Echocardiographic Method for the Visualization and Assessment of Specific Parameters of the Pulmonary Veins
06:48

Three-Dimensional Echocardiographic Method for the Visualization and Assessment of Specific Parameters of the Pulmonary Veins

Published on: October 28, 2020

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
11:16

In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging

Published on: February 25, 2022

Area of Science:

  • Cardiovascular Imaging
  • Medical Ultrasound Technology
  • Echocardiography

Background:

  • Accurate assessment of cardiac valve regurgitation and function is crucial for patient diagnosis.
  • Current methods for measuring proximal isovelocity surface area (PISA) using 3D ultrasound are labor-intensive and time-consuming.
  • Limitations in current protocols necessitate improved, efficient workflows for quantitative analysis of valvular heart disease.

Purpose of the Study:

  • To develop and validate the first system for proximal isovelocity surface area (PISA) measurement using 3D ultrasound acquisition.
  • To introduce an efficient, automated workflow for PISA computation, improving upon existing time-consuming protocols.
  • To enable accurate quantitative assessment of cardiac valve regurgitation and function through 3D PISA analysis.

Main Methods:

  • Development of a 3D ultrasound system with modified hardware for volumetric image acquisition.
  • Implementation of an efficient workflow featuring interactive initialization followed by automatic segmentation of the valve annulus and PISA computation.
  • Validation of the system using in vitro phantoms to verify surface area, orifice area, and regurgitant flow calculations.

Main Results:

  • The developed system successfully computed PISA from 3D ultrasound data.
  • In vitro validation confirmed accurate calculations of surface area, orifice area, and regurgitant flow.
  • The system accurately classified in vivo patient imaging measurements into mild-moderate and moderate-severe regurgitation categories, comparing favorably to independent measurements.

Conclusions:

  • The novel 3D ultrasound system provides an efficient and accurate method for PISA measurement.
  • This automated workflow significantly reduces user interaction time compared to current state-of-the-art protocols.
  • The system demonstrates clinical utility in quantitatively assessing cardiac valve regurgitation and aiding in patient classification.