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A tracking-based semi-automatic software for focal liver lesion extraction in contrast-enhanced ultrasound (CEUS) cine-loops

  • Chinese Academy of Sciences
  • University of Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The tracking-based semi-automatic software is a user-friendly tool to draw bounding box around focal liver lesions (FLLs) in Contrast-enhanced Ultrasound (CEUS) cine-loop based on MATLAB 2019b. The software development based on the consideration that deep learning has a broad prospect in processing FLLs CEUS cine-loops while extracting enormous ground-truth for detecting, tracking as well as further data analysis is necessary. Until now, there is no public software committing to successive extracting region of interests (ROIs) in CEUS cine-loops. The tracking algorithm build on point-based registration techniques (PBRTs) which are widely used for motion compensation in 2-D FLL CEUS imaging. The software need user draw a bounding box firstly for every tracking sequence and allows user to fine-tune or delete some bad tracking results in time. The software can show the dual bounding box when the cine-loop is in double display mode, all the functions for examples bounding box drawing and tracking can work directly in ultrasound in case that CEUS is unrecognizable. We also add some interactive items and sequence analysis algorithms to make the processing more efficient and you can download the software in https://github.com/Yuqi-Zest/CEUS-tracking-software.

Original languageEnglish
Title of host publicationMedical Imaging 2020
Subtitle of host publicationImaging Informatics for Healthcare, Research, and Applications
EditorsPo-Hao Chen, Thomas M. Deserno
PublisherSPIE
ISBN (Electronic)9781510634039
DOIs
StatePublished - 2020
Externally publishedYes
EventMedical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications - Houston, United States
Duration: 16 Feb 202017 Feb 2020

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11318
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2020: Imaging Informatics for Healthcare, Research, and Applications
Country/TerritoryUnited States
CityHouston
Period16/02/2017/02/20

Keywords

  • Contrast-enhanced ultrasound
  • Data preprocess software
  • Focal liver lesion
  • Image process
  • Tracking

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