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Biopsy needle and tissue deformations detection in elastography supported ultrasound

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

During last decades a fast development of imaging techniques has offered the intra-operative visualization as the integral part of surgical tools. For this, the automated and robust analysis of ultrasound images is required. The paper meets these requirements targeting in detection of tissue deformations caused by biopsy needle inserted in the body. The presented novel technique uses ultrasound data supported by elastography images. In the feature set, the automated detection algorithm introduces Histogram of Oriented Gradients and image entropy. The further classification steps appliesWeighted Fuzzy C-Means (WFCM) clustering technique resulting in deformation detection sensitivity and specificity at levels 0.793 and 0.94, respectively.

Original languageEnglish
Title of host publicationInformation Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings
EditorsEwa Piętka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek
PublisherSpringer Verlag
Pages85-96
Number of pages12
ISBN (Print)9783319397955
DOIs
Publication statusPublished - 2016
Event5th International Conference on Information Technologies in Biomedicine, ITIB 2016 - Kamien Slaski, Poland
Duration: 20 Jun 2016 → 22 Jun 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume471
ISSN (Print)2194-5357

Conference

Conference5th International Conference on Information Technologies in Biomedicine, ITIB 2016
Country/TerritoryPoland
CityKamien Slaski
Period20/06/16 → 22/06/16

Keywords

  • Biopsy needle
  • Detection
  • Elastography
  • Histogram of oriented gradients
  • Ultrasound

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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