Algorithm for simple automated breast mri deformation modelling

Marta Danch-Wierzchowska; Damian Borys; Andrzej Swierniak

doi:10.5220/0006586201140119

Algorithm for simple automated breast mri deformation modelling

Marta Danch-Wierzchowska
, Damian Borys
, Andrzej Swierniak

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

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.

Original language	English
Title of host publication	BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Editors	Sheldon Wiebe, Hugo Gamboa, Ana Fred, Sergi Bermudez i Badia
Publisher	SciTePress
Pages	114-119
Number of pages	6
ISBN (Electronic)	9789897582783
DOIs	https://doi.org/10.5220/0006586201140119
Publication status	Published - 2018
Event	5th International Conference on Bioimaging, BIOIMAGING 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Funchal, Madeira, Portugal Duration: 19 Jan 2018 → 21 Jan 2018

Publication series

Name	BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Volume	2

Conference

Conference	5th International Conference on Bioimaging, BIOIMAGING 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Country/Territory	Portugal
City	Funchal, Madeira
Period	19/01/18 → 21/01/18

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Breast Deformation
Finite Element Modeling
MRI Images

ASJC Scopus subject areas

Biomedical Engineering
Electrical and Electronic Engineering

Access to Document

10.5220/0006586201140119

Cite this

Danch-Wierzchowska, M., Borys, D., & Swierniak, A. (2018). Algorithm for simple automated breast mri deformation modelling. In S. Wiebe, H. Gamboa, A. Fred, & S. Bermudez i Badia (Eds.), BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 (pp. 114-119). (BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Vol. 2). SciTePress. https://doi.org/10.5220/0006586201140119

Danch-Wierzchowska, Marta ; Borys, Damian ; Swierniak, Andrzej. / Algorithm for simple automated breast mri deformation modelling. BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. editor / Sheldon Wiebe ; Hugo Gamboa ; Ana Fred ; Sergi Bermudez i Badia. SciTePress, 2018. pp. 114-119 (BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018).

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title = "Algorithm for simple automated breast mri deformation modelling",

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.",

keywords = "Breast Deformation, Finite Element Modeling, MRI Images",

author = "Marta Danch-Wierzchowska and Damian Borys and Andrzej Swierniak",

note = "Publisher Copyright: Copyright {\textcopyright} 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved; 5th International Conference on Bioimaging, BIOIMAGING 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 ; Conference date: 19-01-2018 Through 21-01-2018",

year = "2018",

doi = "10.5220/0006586201140119",

language = "English",

series = "BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018",

publisher = "SciTePress",

pages = "114--119",

editor = "Sheldon Wiebe and Hugo Gamboa and Ana Fred and \{Bermudez i Badia\}, Sergi",

booktitle = "BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018",

}

Danch-Wierzchowska, M, Borys, D & Swierniak, A 2018, Algorithm for simple automated breast mri deformation modelling. in S Wiebe, H Gamboa, A Fred & S Bermudez i Badia (eds), BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, vol. 2, SciTePress, pp. 114-119, 5th International Conference on Bioimaging, BIOIMAGING 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, Funchal, Madeira, Portugal, 19/01/18. https://doi.org/10.5220/0006586201140119

Algorithm for simple automated breast mri deformation modelling. / Danch-Wierzchowska, Marta; Borys, Damian ; Swierniak, Andrzej.
BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. ed. / Sheldon Wiebe; Hugo Gamboa; Ana Fred; Sergi Bermudez i Badia. SciTePress, 2018. p. 114-119 (BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018; Vol. 2).

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

TY - GEN

T1 - Algorithm for simple automated breast mri deformation modelling

AU - Danch-Wierzchowska, Marta

AU - Borys, Damian

AU - Swierniak, Andrzej

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Breast Deformation

KW - Finite Element Modeling

KW - MRI Images

UR - https://www.scopus.com/pages/publications/85051695608

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DO - 10.5220/0006586201140119

M3 - Conference contribution

AN - SCOPUS:85051695608

T3 - BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

SP - 114

EP - 119

BT - BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

A2 - Wiebe, Sheldon

A2 - Gamboa, Hugo

A2 - Fred, Ana

A2 - Bermudez i Badia, Sergi

PB - SciTePress

T2 - 5th International Conference on Bioimaging, BIOIMAGING 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

Y2 - 19 January 2018 through 21 January 2018

ER -

Danch-Wierzchowska M, Borys D , Swierniak A. Algorithm for simple automated breast mri deformation modelling. In Wiebe S, Gamboa H, Fred A, Bermudez i Badia S, editors, BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. SciTePress. 2018. p. 114-119. (BIOIMAGING 2018 - 5th International Conference on Bioimaging, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018). doi: 10.5220/0006586201140119

Algorithm for simple automated breast mri deformation modelling

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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