Segmentation of aliasing artefacts in ultrasound color flow imaging using convolutional neural networks

Hassan Nahas, Takuro Ishii, Adrian Chee, Billy Yiu, Alfred Yu

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

1 Citation (Scopus)

Abstract

Color flow imaging is a biomedical ultrasound modality used to visualize blood flow dynamics in the blood vessels, which are correlated with cardiovascular function and pathology. This is however done through a pulsed echo sensing mechanism and thus flow measurements can be corrupted by aliasing artefacts, hindering its application. While various methods have attempted to address these artefacts, there is still demand for a robust and flexible solution, particularly at the stage of identifying the aliased regions in the imaging view. In this paper, we investigate the application of convolutional neural networks to segment aliased regions in color flow images due to their strength in translation-invariant learning of complex features. Relevant ultrasound features including phase shifts, speckle images and optical flow were generated from ultrasound data obtained from anthropomorphic flow models. The investigated neural networks all showed strong performance in terms of precision, recall and intersection over union while revealing the important ultrasound features that improved detection. This study paves the way for sophisticated dealiasing algorithms in color flow imaging.

Original languageEnglish
Title of host publicationImage Analysis and Recognition - 16th International Conference, ICIAR 2019, Proceedings
EditorsFakhri Karray, Alfred Yu, Aurélio Campilho
PublisherSpringer Verlag
Pages452-461
Number of pages10
ISBN (Print)9783030272715
DOIs
Publication statusPublished - 2019
Externally publishedYes
Event16th International Conference on Image Analysis and Recognition, ICIAR 2019 - Waterloo, Canada
Duration: 2019 Aug 272019 Aug 29

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11663 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Image Analysis and Recognition, ICIAR 2019
CountryCanada
CityWaterloo
Period19/8/2719/8/29

Keywords

  • Aliasing
  • Cardiovascular
  • Color flow imaging
  • Convolutional neural networks
  • Deep learning
  • Doppler
  • Ultrasound imaging

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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