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Updated: Jun 8, 2026

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Transthoracic Echocardiography in Mice
Published on: May 28, 2010
Automated interventricular septum thickness measurement from B-mode echocardiograms.
Navneeth Subramanian1, Dirk Padfield, Sheshadri Thiruvenkadam
1GE Global Research, Whitefield Road, Bangalore, India. navneeth.s@ge.com
Summary
This study presents an automated system for measuring interventricular septum thickness from echocardiograms. The novel method accurately quantifies this key cardiology parameter, overcoming image challenges for reliable clinical assessment.
Area of Science:
- Cardiology
- Medical Imaging
- Biomedical Engineering
Background:
- Accurate measurement of interventricular septum thickness is crucial in cardiology.
- B-mode echocardiograms present challenges like noise, low contrast, and motion artifacts.
- Existing manual methods are time-consuming and prone to variability.
Purpose of the Study:
- To develop and validate an automated system for measuring interventricular septum thickness from B-mode echocardiograms.
- To address the technical challenges inherent in echocardiographic imaging of the septum.
- To provide a near real-time, reliable measurement tool for clinical use.
Main Methods:
- A 1D curve evolution algorithm with region statistics for septum segmentation.
- A motion clustering technique to accurately identify the mitral valve.
- A robust calculation method for septum width adhering to medical standards.
Main Results:
- The automated system effectively handles noise, intensity variations, and motion artifacts.
- Measurements were performed in near real-time, demonstrating computational efficiency.
- Excellent agreement was observed between automated and expert manual measurements across 57 patient recordings.
Conclusions:
- The developed automated system provides accurate and efficient measurement of interventricular septum thickness.
- This technology has the potential to improve diagnostic accuracy and workflow in echocardiography.
- The system offers a reliable alternative to manual measurements, aiding clinical decision-making.
