Related Experiment Videos
A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function
Gary Jacob1, J Alison Noble, Christian Behrenbruch
1Department of Engineering Science, University of Oxford, UK.
IEEE Transactions on Medical Imaging
|May 7, 2002
Summary
This study introduces a semi-automatic method for quantifying regional heart function using 2D echocardiography. The novel approach accurately assesses myocardial function and thickening, aiding in clinical diagnosis.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Assessing regional heart function from echocardiography is crucial for diagnosing conditions like myocardial infarction.
- Current qualitative methods, such as the 16-segment model, lack quantitative precision.
Purpose of the Study:
- To develop and validate a semi-automatic method for quantitative assessment of regional heart function from 2D echocardiography.
- To derive automatic scoring schemes for endocardial excursion and myocardial thickening.
Main Methods:
- A semi-automatic approach utilizing a dynamic snake variant to track endocardial and epicardial borders.
- Decomposition of tracked borders into regional parameters using a novel shape-space model.
- Quantitative scoring of myocardial function based on derived parameters.
Main Results:
- The method successfully quantifies regional heart function, including endocardial excursion and myocardial thickening.
- Illustrative results are presented for a patient with myocardial infarction.
- A case study demonstrated comparable performance to manual border delineations using quantitative measures.
Conclusions:
- The developed semi-automatic method offers a quantitative and objective approach to regional heart function assessment.
- This technique has the potential to enhance the diagnostic capabilities of 2D echocardiography.
- The novel shape-space model provides clinically meaningful interpretations of cardiac mechanics.