Realistic super-resolution image analysis for state of the art 2d contrast enhanced ultrasound imaging

Evangelos Kanoulas, Mairead Butler, Colin W. Duncan, Weiping Lu, Vassilis Sboros

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


An ultrasound based super-resolution algorithm was developed for clinical 2D ultrasound imaging in contrast enhanced ultrasound (CEUS) mode. Synthetic and in vivo data from sheep ovaries were used. Development involved microbubble-specific detection and segmentation, resulting in optimal localisation, resulting in an image analysis algorithm that could be used with clinical data of a few minutes duration. Microscopy images from histology slices were available to allow comparison of the in vivo vascular network with that produced from the processed ultrasound data. A 5-fold resolution gain was demonstrated in vessel width, as vessels slightly under 120 \mu \mathrm {m} were detected ( \lambda \quad = 257 \mu \mathrm {m}), while the synthetic data demonstrated that the microbubble (MB) localization uncertainty is 30 \mu \mathrm {m}. These results were achieved by processing video loops of under 2-minute duration. In conclusion, the above algorithm provided complete images of microvascular structure down to arteriole level from data that do not extend beyond a reasonable patient examination period.

Original languageEnglish
Title of host publication2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
Number of pages4
ISBN (Electronic)9781538636411
Publication statusPublished - 11 Jul 2019
Event16th IEEE International Symposium on Biomedical Imaging 2019 - Venice, Italy
Duration: 8 Apr 201911 Apr 2019

Publication series

NameInternational Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452


Conference16th IEEE International Symposium on Biomedical Imaging 2019
Abbreviated titleISBI 2019


  • Biomedical imaging
  • Detection
  • In vivo data
  • Microbubbles
  • Super-resolution ultrasound

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


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