Algorithm for Simple Automated Breast MRI Deformation Modelling

Marta Danch-Wierzchowska, Damian Borys, Andrzej Swierniak

Abstract

Increasing incidence of breast cancer caused development of patient-specific treatment planning procedures. The most effective tool for breast cancer visualisation is Magnetic Resonance Imaging (MRI). However, the MRI scans represent patient data in prone position with breast placed in signal enhancement coils, while other procedures, i.e. surgery, PET-CT (Positron Emission Tomography fused with Computer Tomography) are performed in patient supine position. The bigger patient breast is, the bigger its shape differ in every patient position, what influences its interior structure and tumour location. In this paper, we present our method for automated breast model deformation, which is based on prone MRI dataset. Proposed algorithm allows to obtain reliable breast model in supine position in a few simple steps, without manual intervention.

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Paper Citation


in Harvard Style

Danch-Wierzchowska M., Borys D. and Swierniak A. (2018). Algorithm for Simple Automated Breast MRI Deformation Modelling.In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING, ISBN 978-989-758-278-3, pages 114-119. DOI: 10.5220/0006586201140119


in Bibtex Style

@conference{bioimaging18,
author={Marta Danch-Wierzchowska and Damian Borys and Andrzej Swierniak},
title={Algorithm for Simple Automated Breast MRI Deformation Modelling},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING,},
year={2018},
pages={114-119},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006586201140119},
isbn={978-989-758-278-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING,
TI - Algorithm for Simple Automated Breast MRI Deformation Modelling
SN - 978-989-758-278-3
AU - Danch-Wierzchowska M.
AU - Borys D.
AU - Swierniak A.
PY - 2018
SP - 114
EP - 119
DO - 10.5220/0006586201140119