Three-Dimensional Voxel-Level Classification of Ultrasound Scattering

Haowei Tai, Swapnil Dolui, Mawia Khairalseed, Kenneth Hoyt

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

5 Scopus citations

Abstract

Three-dimensional (3D) H-scan ultrasound (US) is a new high-resolution imaging technology for voxel-level tissue classification. For the purpose of validation, a simulated H-scan US imaging system was developed to comprehensively study the sensitivity to scatterer size in volume space. A programmable research US system (Vantage 256, Verasonics Inc, Kirkland, WA) equipped with a custom volumetric imaging transducer (4DL7, Vermon, Tours, France) was used for US data acquisition and comparison to simulated findings. Preliminary studies were conducted using homogeneous phantoms embedded with acoustic scatterers of varying sizes (15, 30, 40 or 250 μm). Both simulation and experimental results indicate that the H -scan US imaging method is more sensitive than B-mode US in differentiating US scatterers of varying size. Overall, this study proved useful for evaluating H -scan US imaging of tissue scatterer patterns and will inform future technology research and development.

Original languageEnglish (US)
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages1838-1841
Number of pages4
ISBN (Electronic)9781538693308
DOIs
StatePublished - Apr 2020
Event17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States
Duration: Apr 3 2020Apr 7 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2020-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
Country/TerritoryUnited States
CityIowa City
Period4/3/204/7/20

Keywords

  • Acoustic scatterer size
  • H-scan ultrasound
  • tissue characterization
  • ultrasound simulation

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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