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Updated: Apr 30, 2026
Ultrasonic Assessment of Myocardial Microstructure
Published on: January 14, 2014
Automated Identification of Infarcted Myocardium Tissue Characterization Using Ultrasound Images: A Review
Insights
Early detection of myocardial infarction (MI) using computer-aided diagnosis (CAD) can prevent heart damage. This review discusses developing reliable CAD systems for accurate MI detection from echocardiography images.
Area of Science:
- Cardiology
- Medical Imaging
- Artificial Intelligence
Background:
- Myocardial infarction (MI), or heart attack, is a leading cause of cardiac death.
- Early MI detection is crucial to prevent left ventricle (LV) remodeling and cardiac damage.
- Echocardiography is vital for diagnosing normal versus infarcted myocardium.
Purpose of the Study:
- To review components for developing reliable computer-aided diagnostic (CAD) systems.
- To address limitations of subjective echocardiography image interpretation.
- To improve accuracy in classifying normal and infarcted myocardium.
Main Methods:
- Review of existing literature on CAD systems for MI detection.
- Focus on pattern recognition algorithms applied to echocardiography.
- Discussion of essential components for CAD system development.
Main Results:
- Subjectivity in echocardiography interpretation leads to interobserver variability and inconclusive findings.
- Computer-aided diagnostic (CAD) techniques offer potential for accurate classification of myocardial images.
- Reliable CAD systems can aid in timely MI identification and assessment of LV remodeling.
Conclusions:
- Developing robust CAD systems is essential for accurate and objective MI diagnosis.
- CAD systems utilizing echocardiography and pattern recognition can overcome limitations of manual interpretation.
- Accurate MI detection through CAD facilitates timely treatment, reducing cardiac mortality and healthcare costs.
Abstract:
Myocardial infarction (MI) or acute myocardial infarction commonly known as heart attack is one of the major causes of cardiac death worldwide. It occurs when the blood supply to the portion of the heart muscle is blocked or stopped causing death of heart muscle cells. Early detection of MI will help to prevent the infarct expansion leading to left ventricle (LV) remodeling and further damage to the cardiac muscles. Timely identification of MI and the extent of LV remodeling are crucial to reduce the time taken for further tests, and save the cost due to early treatment. Echocardiography images are widely used to assess the differential diagnosis of normal and infarcted myocardium. The reading of ultrasound images is subjective due to interobserver variability and may lead to inconclusive findings which may increase the anxiety for patients. Hence, a computer-aided diagnostic (CAD) technique which uses echocardiography images of the heart coupled with pattern recognition algorithms can accurately classify normal and infarcted myocardium images. In this review paper, we have discussed the various components that are used to develop a reliable CAD system.
