An automated 3D annotation method for breast ultrasound imaging

Wei Wei Jiang, Yongping Zheng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Image spatial annotation is one of the most important steps in breast ultrasound scanning examinations because follow-up evaluation, diagnosis and treatment may be performed based on the annotation. The conventional annotation method is manual and highly dependent on the operator's experience. Therefore, it is time-consuming and prone to errors. This paper introduced a novel annotation method for breast ultrasound imaging. A spatial sensor was attached to the ultrasound transducer to obtain the real-time image location information. 3D virtual models of breasts and probe were shown on screen together with ultrasound images to display the spatial data intuitively. A program was developed to acquire ultrasound images and spatial signals, compute the image locations relative to the breast, and display images together with their corresponding 3D annotations. It was demonstrated that this novel annotation method could provide automated and accurate annotations in phantom experiments. This method also showed its potential to continuously annotate breast ultrasound images in relative short time in the preliminary in-vivo experiments.
Original languageEnglish
Title of host publication2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Pages488-491
Number of pages4
DOIs
Publication statusPublished - 14 Dec 2012
Event34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012 - San Diego, CA, United States
Duration: 28 Aug 20121 Sep 2012

Conference

Conference34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012
CountryUnited States
CitySan Diego, CA
Period28/08/121/09/12

ASJC Scopus subject areas

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

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