Breast deformation modeling based on MRI images, preliminary results

Marta Danch-Wierzchowska; Damian Borys; Andrzej Swierniak

doi:10.1007/978-3-319-39904-1_20

Breast deformation modeling based on MRI images, preliminary results

Marta Danch-Wierzchowska
, Damian Borys
, Andrzej Swierniak

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

4 Citations (Scopus)

Abstract

Increasing number of people are suffering from cancer these days. The highest incidence among women is breast cancer. One of the main sources of diagnostic information is Magnetic Resonance Imaging (MRI). Another one is Positron Emission Tomography with Computer Thomography (PET-CT). Both examinations take place in different patient positions (prone and supine respectively). The only way to obtain complete diagnostic information is to bring MRI images into PET-CT space and compare both. Our preliminary studies focus on creating a simple, deformable finite element model of the breast. Proposed algorithm allows to obtain breast model in supine position, created from MRI images obtained in prone position.

Original language	English
Title of host publication	Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings
Editors	Ewa Piętka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek
Publisher	Springer Verlag
Pages	227-234
Number of pages	8
ISBN (Print)	9783319399034
DOIs	https://doi.org/10.1007/978-3-319-39904-1_20
Publication status	Published - 2016
Event	5th International Conference on Information Technologies in Biomedicine, ITIB 2016 - Kamien Slaski, Poland Duration: 20 Jun 2016 → 22 Jun 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	472
ISSN (Print)	2194-5357

Conference

Conference	5th International Conference on Information Technologies in Biomedicine, ITIB 2016
Country/Territory	Poland
City	Kamien Slaski
Period	20/06/16 → 22/06/16

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 modelling
MRI images

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-39904-1_20

Cite this

Danch-Wierzchowska, M., Borys, D., & Swierniak, A. (2016). Breast deformation modeling based on MRI images, preliminary results. In E. Piętka, P. Badura, J. Kawa, & W. Wieclawek (Eds.), Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings (pp. 227-234). (Advances in Intelligent Systems and Computing; Vol. 472). Springer Verlag. https://doi.org/10.1007/978-3-319-39904-1_20

Danch-Wierzchowska, Marta ; Borys, Damian ; Swierniak, Andrzej. / Breast deformation modeling based on MRI images, preliminary results. Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. editor / Ewa Piętka ; Pawel Badura ; Jacek Kawa ; Wojciech Wieclawek. Springer Verlag, 2016. pp. 227-234 (Advances in Intelligent Systems and Computing).

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title = "Breast deformation modeling based on MRI images, preliminary results",

abstract = "Increasing number of people are suffering from cancer these days. The highest incidence among women is breast cancer. One of the main sources of diagnostic information is Magnetic Resonance Imaging (MRI). Another one is Positron Emission Tomography with Computer Thomography (PET-CT). Both examinations take place in different patient positions (prone and supine respectively). The only way to obtain complete diagnostic information is to bring MRI images into PET-CT space and compare both. Our preliminary studies focus on creating a simple, deformable finite element model of the breast. Proposed algorithm allows to obtain breast model in supine position, created from MRI images obtained in prone position.",

keywords = "Breast deformation, Finite element modelling, MRI images",

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

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 5th International Conference on Information Technologies in Biomedicine, ITIB 2016 ; Conference date: 20-06-2016 Through 22-06-2016",

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Danch-Wierzchowska, M, Borys, D & Swierniak, A 2016, Breast deformation modeling based on MRI images, preliminary results. in E Piętka, P Badura, J Kawa & W Wieclawek (eds), Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. Advances in Intelligent Systems and Computing, vol. 472, Springer Verlag, pp. 227-234, 5th International Conference on Information Technologies in Biomedicine, ITIB 2016, Kamien Slaski, Poland, 20/06/16. https://doi.org/10.1007/978-3-319-39904-1_20

Breast deformation modeling based on MRI images, preliminary results. / Danch-Wierzchowska, Marta; Borys, Damian ; Swierniak, Andrzej.
Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. ed. / Ewa Piętka; Pawel Badura; Jacek Kawa; Wojciech Wieclawek. Springer Verlag, 2016. p. 227-234 (Advances in Intelligent Systems and Computing; Vol. 472).

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

TY - GEN

T1 - Breast deformation modeling based on MRI images, preliminary results

AU - Danch-Wierzchowska, Marta

AU - Borys, Damian

AU - Swierniak, Andrzej

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Increasing number of people are suffering from cancer these days. The highest incidence among women is breast cancer. One of the main sources of diagnostic information is Magnetic Resonance Imaging (MRI). Another one is Positron Emission Tomography with Computer Thomography (PET-CT). Both examinations take place in different patient positions (prone and supine respectively). The only way to obtain complete diagnostic information is to bring MRI images into PET-CT space and compare both. Our preliminary studies focus on creating a simple, deformable finite element model of the breast. Proposed algorithm allows to obtain breast model in supine position, created from MRI images obtained in prone position.

AB - Increasing number of people are suffering from cancer these days. The highest incidence among women is breast cancer. One of the main sources of diagnostic information is Magnetic Resonance Imaging (MRI). Another one is Positron Emission Tomography with Computer Thomography (PET-CT). Both examinations take place in different patient positions (prone and supine respectively). The only way to obtain complete diagnostic information is to bring MRI images into PET-CT space and compare both. Our preliminary studies focus on creating a simple, deformable finite element model of the breast. Proposed algorithm allows to obtain breast model in supine position, created from MRI images obtained in prone position.

KW - Breast deformation

KW - Finite element modelling

KW - MRI images

UR - https://www.scopus.com/pages/publications/84976511200

U2 - 10.1007/978-3-319-39904-1_20

DO - 10.1007/978-3-319-39904-1_20

M3 - Conference contribution

AN - SCOPUS:84976511200

SN - 9783319399034

T3 - Advances in Intelligent Systems and Computing

SP - 227

EP - 234

BT - Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings

A2 - Piętka, Ewa

A2 - Badura, Pawel

A2 - Kawa, Jacek

A2 - Wieclawek, Wojciech

PB - Springer Verlag

T2 - 5th International Conference on Information Technologies in Biomedicine, ITIB 2016

Y2 - 20 June 2016 through 22 June 2016

ER -

Danch-Wierzchowska M, Borys D , Swierniak A. Breast deformation modeling based on MRI images, preliminary results. In Piętka E, Badura P, Kawa J, Wieclawek W, editors, Information Technologies in Medicine - 5th International Conference, ITIB 2016, Proceedings. Springer Verlag. 2016. p. 227-234. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-39904-1_20

Breast deformation modeling based on MRI images, preliminary results

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this