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 language | English |
|---|---|
| Title of host publication | Proceedings of Computing Conference 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1378-1381 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781509054435 |
| DOIs | |
| Publication status | Published - 8 Jan 2018 |
| Event | 2017 SAI Computing Conference 2017 - London, United Kingdom Duration: 18 Jul 2017 → 20 Jul 2017 |
Publication series
| Name | Proceedings of Computing Conference 2017 |
|---|---|
| Volume | 2018-January |
Conference
| Conference | 2017 SAI Computing Conference 2017 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 18/07/17 → 20/07/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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