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Related Experiment Video

Updated: Jun 16, 2026

Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism
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Quantification of Global Diastolic Function by Kinematic Modeling-based Analysis of Transmitral Flow via the Parametrized Diastolic Filling Formalism

Published on: September 1, 2014

Semi-automatic quantification of 4D left ventricular blood flow.

Jonatan Eriksson1, Carl Johan Carlhäll, Petter Dyverfeldt

  • 1Division of Cardiovascular Medicine, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden. jonatan.eriksson@liu.se

Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance
|February 16, 2010
PubMed
Summary

A new semi-automatic method accurately quantifies four-dimensional (4D) blood flow in the left ventricle (LV) using cardiovascular magnetic resonance (CMR). This approach offers high reproducibility for assessing intra-cardiac blood flow components.

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

Published on: February 25, 2022

Area of Science:

  • Cardiovascular imaging
  • Biomedical engineering
  • Fluid dynamics

Background:

  • Intra-cardiac blood flow is crucial for cardiovascular health.
  • Disease can disrupt normal blood flow patterns within the heart.
  • Accurate quantification methods for 4D intra-cardiac blood flow are currently limited.

Purpose of the Study:

  • To develop and validate a novel semi-automatic analysis approach for quantifying 4D intra-cardiac blood flow.
  • To integrate cardiovascular magnetic resonance (CMR) flow and morphological data.
  • To address the lack of precise methods for intra-cardiac blood flow quantification.

Main Methods:

  • Acquired 3D cine phase-contrast CMR velocity data and balanced steady-state free-precession images in healthy subjects and patients with dilated cardiomyopathy.
  • Segmented the left ventricle (LV) endocardium and traced pathlines through the cardiac cycle.
  • Developed an automated method to separate pathlines into four flow components: Direct Flow, Retained Inflow, Delayed Ejection Flow, and Residual Volume.

Main Results:

  • Successfully determined the volume and distribution of LV flow components in all subjects.
  • Calculated LV outflow volumes were consistent with existing methods, falling between through-plane phase-contrast CMR and Doppler ultrasound values.
  • Demonstrated low inter- and intra-observer variability for assessing the volumes of LV inflow, outflow, and the four distinct flow components.

Conclusions:

  • The developed semi-automatic analysis approach enables accurate quantification of 4D blood flow.
  • The method provides accurate left ventricular (LV) inflow and outflow volumes.
  • Achieved high reproducibility in assessing LV flow components, offering a valuable tool for cardiovascular research and clinical practice.