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Conference paper

A comparison between image and signal sharpness-based axial localization of ultrasound scatterers

From

University of Edinburgh1

Heriot-Watt University2

Center for Fast Ultrasound Imaging, Biomedical Engineering, Department of Health Technology, Technical University of Denmark3

Biomedical Engineering, Department of Health Technology, Technical University of Denmark4

Department of Health Technology, Technical University of Denmark5

Super-resolution ultrasound imaging deploys contrast microbubble (MB) tracking to delineate micro-vessels. The potential application spans to a large number of diseases which cause compromised vascular networks. Current super resolution methods are mainly based on image processing. Sharpness-based localization is an alternative to such methods for scatterer localization in the axial direction, and can be implemented using both image and signal data.

A 7-MHz, linear ultrasound transducer (lambda=212 mu m) and the Synthetic Aperture Real-time Ultrasound System (SARUS) were used to image a wire-target (point scatterer) at different depth positions. The method predicts a depth estimate and its difference from the true scatterer position demonstrates its accuracy.

This average difference can be as low as 27.41 mu m (or approximate to lambda/8) for the image-derived sharpness and drops to 2.84 mu m (or approximate to lambda/75) when the signals are used. These figures were calculated for a 8 mm depth range, which can be extended subject to further processing. The process of image formation involves interpolation and logarithmic compression that reduce the overall performance of the method when using image data.

Such details may be significant when reconstructing micro-vessels of the order of tens of micrometres in diameter.

Language: English
Publisher: IEEE
Year: 2019
Pages: 1610-1613
Proceedings: 2019 IEEE International Symposium on Biomedical Imaging
Series: International Symposium on Biomedical Imaging. Proceedings
ISBN: 1538636417 , 1538636425 , 9781538636411 and 9781538636428
ISSN: 19458452 and 19457928
Types: Conference paper
DOI: 10.1109/ISBI.2019.8759225
ORCIDs: Jensen, Jørgen Arendt

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