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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

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Evaluation of a cardiac ultrasound segmentation algorithm using a phantom.

Yong Yue¹, Hemant D Tagare, Ernest L Madsen

¹Department of Diagnostic Radiology, School of Medicine, Yale University, New Haven, CT 06511, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention

|November 5, 2008

Summary

This study validates a level set algorithm for segmenting cardiac ultrasound images using an anthropomorphic phantom. The phantom enables accurate assessment of segmentation performance and energy minimization strategies.

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Area of Science:

Medical Imaging
Biomedical Engineering
Computational Biology

Background:

Accurate endocardial segmentation in ultrasound images is crucial for cardiac function assessment.
Level set algorithms offer a promising approach for image segmentation tasks.
Evaluating segmentation algorithms requires robust validation methods.

Purpose of the Study:

To evaluate the performance of a level set algorithm for endocardial segmentation in short-axis ultrasound images.
To assess the effectiveness of the algorithm's energy minimization scheme.
To validate the use of an anthropomorphic ultrasound phantom for algorithm evaluation.

Main Methods:

Development and utilization of an anthropomorphic ultrasound phantom for realistic imaging conditions.

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Implementation of a level set algorithm for endocardial segmentation.

Application of global minimization algorithms (simulated annealing, random search) to assess the energy minimization strategy.

Comparison of phantom ultrasound parameters with in-vitro measurements.

Main Results:

Quantitative measurement of segmentation accuracy using the validated phantom.
Determination of the effectiveness of the energy minimization scheme.
Demonstration of the phantom's utility in assessing minimization strategies.

Conclusions:

The level set algorithm demonstrates effective performance for endocardial segmentation in ultrasound images.
The anthropomorphic ultrasound phantom serves as a reliable tool for evaluating segmentation algorithms and their minimization strategies.
This validation approach enhances the reliability of cardiac image analysis techniques.