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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
Published on: March 6, 2019
Target detection in diagnostic ultrasound: Evaluation of a method based on the CLEAN algorithm
Hassan Masoom1, Raviraj S Adve, Richard S C Cobbold
1Institute of Biomaterials and Biomedical Engineering, Department of Electrical Engineering, University of Toronto, Toronto, Ontario, Canada.
Ultrasonics
|August 3, 2012
Summary
This study introduces a novel ultrasound imaging technique combining CLEAN and constant false alarm rate (CFAR) processing for semi-automated abnormality detection. The method shows promise for identifying targets within speckle backgrounds with minimal operator input.
Area of Science:
- Medical Imaging
- Signal Processing
- Ultrasound Technology
Background:
- Ultrasound image analysis often requires significant operator intervention and a priori information.
- Existing methods for abnormality detection in ultrasound can be limited by speckle noise and thresholding challenges.
Purpose of the Study:
- To develop and evaluate a novel technique for semi-automated detection of abnormalities in ultrasound images.
- To combine the CLEAN algorithm and constant false alarm rate (CFAR) processing for enhanced target identification.
Main Methods:
- Simulated B-mode ultrasound images using Field II software with a 256-element linear array at 3.0MHz.
- Incorporated the CLEAN algorithm for identifying salient image features and CFAR processing for adaptive threshold selection.
- Utilized spherical targets of varying sizes (0.25-6.0mm) and contrasts (0-12dB) within a simulated speckle background.
Main Results:
- The combined CLEAN and CFAR technique demonstrated consistent detection of spherical targets within a simulated speckle background.
- Probability of detection curves indicated successful identification of targets, particularly those with higher contrast and larger diameters.
- The method proved effective even with limited a priori information and minimal operator intervention.
Conclusions:
- The proposed CLEAN and CFAR combined technique shows significant promise for semi-automated abnormality detection in ultrasound imaging.
- This approach offers a potential solution for improving the efficiency and accuracy of ultrasound-based diagnoses.
- Further research is warranted to explore its clinical applicability for detecting abnormalities larger than a few millimeters.
