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Comparison of two approaches to breast deformation modelling based on a biomechanical model

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

1 Citation (Scopus)

Abstract

According to recent studies, breast cancer is the most frequent women's cancer around the world. Fast and precise diagnosis and personalized treatment procedures are crucial in the face of the growing number of patients. One of the most informative and at the same time non-evasive diagnostic techniques is based on Magnetic Resonance Imaging (MRI). This examination is performed basically in prone position due to better visualisation of breast tissues as well as the proper magnetic coil force this position. On the other hand supplementary imaging techniques (e.g. Computer Tomography (CT) or Positron Emission Tomography (PET)) and, what is the most important, surgery are performed in supine position. Since changing position from prone to supine leads to breast deformation, we propose an algorithm based on finite element method (FEM) to model it. We compare our results with model created in ANSYS.

Original languageEnglish
Title of host publicationProceedings of Computing Conference 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1378-1381
Number of pages4
ISBN (Electronic)9781509054435
DOIs
Publication statusPublished - 8 Jan 2018
Event2017 SAI Computing Conference 2017 - London, United Kingdom
Duration: 18 Jul 201720 Jul 2017

Publication series

NameProceedings of Computing Conference 2017
Volume2018-January

Conference

Conference2017 SAI Computing Conference 2017
Country/TerritoryUnited Kingdom
CityLondon
Period18/07/1720/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast deformation modelling
  • Finite element modelling
  • MRI

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software
  • Artificial Intelligence

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