High resolution depth-resolved imaging from multi-focal images for medical ultrasound

Konstantinos Diamantis, Paul Dalgarno, Alan Howard Greenaway, Tom Anderson, Jørgen Arendt Jensen, Vassilis Sboros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

An ultrasound imaging technique providing sub-diffraction limit axial resolution for point sources is proposed. It is based on simultaneously acquired multi-focal images of the same object, and on the image metric of sharpness. The sharpness is extracted by image data and presents higher values for in-focus images. The technique is derived from biological microscopy and is validated here with simulated ultrasound data. A linear array probe is used to scan a point scatterer phantom that moves in depth with a controlled step. From the beamformed responses of each scatterer position the image sharpness is assessed. Values from all positions plotted together form a curve that peaks at the receive focus, which is set during the beamforming. Selection of three different receive foci for each acquired dataset will result in the generation of three overlapping sharpness curves. A set of three calibration curves combined with the use of a maximum-likelihood algorithm is then able to estimate, with high precision, the depth location of any emitter fron each single image. Estimated values are compared with the ground truth demonstrating that an accuracy of 28.6 μm (0.13λ) is achieved for a 4 mm depth range.

Original languageEnglish
Title of host publication37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
PublisherIEEE
Pages7067-7070
Number of pages4
ISBN (Print)9781424492718
DOIs
Publication statusPublished - 4 Nov 2015
Event37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2015 - Milan, Italy
Duration: 25 Aug 201529 Aug 2015

Conference

Conference37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2015
Abbreviated titleEMBC 2015
CountryItaly
CityMilan
Period25/08/1529/08/15

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

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  • Cite this

    Diamantis, K., Dalgarno, P., Greenaway, A. H., Anderson, T., Jensen, J. A., & Sboros, V. (2015). High resolution depth-resolved imaging from multi-focal images for medical ultrasound. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015 (pp. 7067-7070). [7320020] IEEE. https://doi.org/10.1109/EMBC.2015.7320020