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AUTOMATED MEASUREMENTS OF MITRAL AND TRICUSPID ANNULAR DIMENSIONS IN CARDIOVASCULAR MAGNETIC RESONANCE.

Ricardo A Gonzales1, Jérôme Lamy2, Felicia Seemann3

  • 1Radcliffe Department of Medicine, University of Oxford, Oxford, UK.

Proceedings. IEEE International Symposium on Biomedical Imaging
|February 11, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method using cardiovascular magnetic resonance (CMR) to measure mitral and tricuspid annular dimensions. This accurate technique aids in assessing heart function and planning valve interventions.

Keywords:
Cardiovascular magnetic resonanceannular dimensionautomated dimension measurementmitral valvetricuspid valve

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Area of Science:

  • Cardiovascular Imaging
  • Artificial Intelligence in Medicine
  • Cardiac Mechanics

Background:

  • Accurate assessment of myocardial motion is crucial for evaluating cardiac function.
  • Mitral and tricuspid valve dynamics provide insights into diastolic function and regurgitation.
  • Current methods for annular dimension measurement can be time-consuming and subjective.

Purpose of the Study:

  • To develop and validate an automated framework for measuring mitral annular (MA) and tricuspid annular (TA) dimensions using cardiovascular magnetic resonance (CMR).
  • To assess the accuracy and reproducibility of the automated measurements.
  • To evaluate the potential of these measurements in differentiating between healthy individuals and patients with heart failure.

Main Methods:

  • Utilized a residual neural network backbone for automated measurement of MA and TA diameters from CMR long-axis cines.
  • Employed time-resolved CMR imaging for dynamic valve motion analysis.
  • Compared automated measurements against inter-observer variability.

Main Results:

  • The automated framework achieved excellent accuracy in measuring MA and TA diameters (mean ICC=0.92), comparable to inter-observer variability (mean ICC=0.92).
  • Significant differences in valvular dimensions were observed between healthy controls and patients with chronic heart failure (p<0.001).
  • The method demonstrated robust performance in quantitative assessment of annular dimensions.

Conclusions:

  • Automated measurement of mitral and tricuspid annular dimensions using CMR is feasible and highly accurate.
  • This framework offers a valuable tool for quantitative assessment of valvular dimensions, aiding in diagnosis and treatment planning.
  • The findings support the use of this technology for improved patient management in cardiovascular diseases.