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

Left ventricular chamber stiffness from model-based image processing of transmitral Doppler E-waves

S J Kovács1, R Setser, A F Hall

  • 1Cardiovascular Biophysics Laboratory, Barnes-Jewish Hospital at Washington University Medical Center, St Louis, MO 63110, USA.

Coronary Artery Disease
|March 1, 1997
PubMed
Summary

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

Relationship between cone-beam CT technique and diagnostic usefulness in patients undergoing embolotherapy for hepatocellular carcinoma.

Clinical radiology·2017
Same author

Applying a technology-based system for weight loss in adults with obesity.

Obesity science & practice·2016
Same author

Metal artefact reduction algorithm for correction of bone biopsy needle artefact in paediatric C-arm CT images: a qualitative and quantitative assessment.

Clinical radiology·2016
Same author

Contact dermatitis due to the resinous ingredients of zinc chromate primer and certain lacquers.

Archives of dermatology and syphilology·2010
Same author

Contact dermatitis due to pigment in zinc chromate primer.

Archives of dermatology and syphilology·2010
Same author

Pseudopelade.

Archives of dermatology and syphilology·2010

Model-based image processing (MBIP) of Doppler E-waves enables automated calculation of left ventricular chamber stiffness (KLV). This method establishes a linear relationship between the harmonic oscillator parameter k and KLV, offering an observer-independent analysis of transmitral flow velocity.

Area of Science:

  • Cardiovascular Physiology
  • Medical Imaging Analysis
  • Biomedical Engineering

Background:

  • Model-based image processing (MBIP) of Doppler E-waves offers an alternative to manual waveform analysis.
  • Previous studies predicted left ventricular chamber stiffness (KLV) from E-wave deceleration time but did not apply MBIP to clinical data.
  • MBIP of clinical Doppler E-wave images for KLV determination remained unexplored.

Purpose of the Study:

  • To determine left ventricular chamber stiffness (KLV) using MBIP of clinical Doppler E-wave images.
  • To clarify the physiological significance of the harmonic oscillator filling model's parameter k.
  • To establish a relationship between the harmonic oscillator parameter k and KLV.

Main Methods:

  • Digitally acquired clinical Doppler transmitral flow velocity images from 21 subjects were analyzed.

Related Experiment Videos

  • The harmonic oscillator parameter k and left ventricular chamber stiffness KLV were computed independently for each subject.
  • A mathematical model relating the kinematic harmonic oscillator model of filling to KLV was utilized.

    • Main Results:

    • A unique mathematical relationship was observed, predicting a linear proportionality between the oscillator's spring constant k and chamber stiffness KLV.
    • The study confirmed this prediction with a linear relationship: k = 1.16 [A/(rho L)]KLV+41, with a correlation coefficient (r) of 0.96.
    • Automated computation of k and KLV was achieved through the MBIP approach.

    Conclusions:

    • The harmonic oscillator parameter k is linearly proportional to left ventricular chamber stiffness KLV.
    • MBIP provides a robust, automated, and observer-independent method for analyzing Doppler transmitral flow velocity.
    • This approach facilitates further validation of relationships between chamber properties and diastolic function in humans.