Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring

Paweł Bzowski; Marta Danch-Wierzchowska; Krzysztof Psiuk-Maksymowicz; Rafał Panek; Damian Borys

doi:10.1007/978-3-319-91211-0_13

Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring

Paweł Bzowski
, Marta Danch-Wierzchowska
, Krzysztof Psiuk-Maksymowicz
, Rafał Panek
, Damian Borys

Silesian University of Technology
Nottingham University Hospitals NHS Trust

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

1 Citation (Scopus)

Abstract

One of the most common methods in breast cancer radiotherapy planning is Magnetic Resonance Imaging (MRI). It is also used for patient evaluation during treatment because of its sensitivity and lack of ionizing radiation. During each imaging session a patient position can be different and inaccuracies can occur. In this case it is very difficult to compare two image sets originating from different patient examination. The main goals of this work were to implement an algorithm, based on affine transformation with Mutual Information as the quality factor of images match and the method based on the Navier-Lame equation for elastic image co-registration. The rigid transformation is used for the preliminary processing, and the non-rigid transformation allows for successful co-registration of both image sets. Our results were evaluated visually, and the MI indices were calculated. These algorithms allowed for image co-registration in different imaging sessions during the course of treatment.

Original language	English
Title of host publication	Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB’2018
Editors	Ewa Pietka, Pawel Badura, Jacek Kawa, Wojciech Wieclawek
Publisher	Springer Verlag
Pages	150-159
Number of pages	10
ISBN (Print)	9783319912103
DOIs	https://doi.org/10.1007/978-3-319-91211-0_13
Publication status	Published - 2019
Event	6th International Conference on Information Technology in Biomedicine, ITIB 2018 - Kamien Slaski, Poland Duration: 18 Jun 2018 → 20 Jun 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	762
ISSN (Print)	2194-5357

Conference

Conference	6th International Conference on Information Technology in Biomedicine, ITIB 2018
Country/Territory	Poland
City	Kamien Slaski
Period	18/06/18 → 20/06/18

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Breast imagining
Image processing
Image registration
MRI

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-91211-0_13

Cite this

Bzowski, P., Danch-Wierzchowska, M., Psiuk-Maksymowicz, K., Panek, R., & Borys, D. (2019). Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring. In E. Pietka, P. Badura, J. Kawa, & W. Wieclawek (Eds.), Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB’2018 (pp. 150-159). (Advances in Intelligent Systems and Computing; Vol. 762). Springer Verlag. https://doi.org/10.1007/978-3-319-91211-0_13

Bzowski, Paweł ; Danch-Wierzchowska, Marta ; Psiuk-Maksymowicz, Krzysztof et al. / Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring. Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB’2018. editor / Ewa Pietka ; Pawel Badura ; Jacek Kawa ; Wojciech Wieclawek. Springer Verlag, 2019. pp. 150-159 (Advances in Intelligent Systems and Computing).

@inproceedings{64ef7ce6a5cb4550a5e00070a7dc9628,

title = "Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring",

abstract = "One of the most common methods in breast cancer radiotherapy planning is Magnetic Resonance Imaging (MRI). It is also used for patient evaluation during treatment because of its sensitivity and lack of ionizing radiation. During each imaging session a patient position can be different and inaccuracies can occur. In this case it is very difficult to compare two image sets originating from different patient examination. The main goals of this work were to implement an algorithm, based on affine transformation with Mutual Information as the quality factor of images match and the method based on the Navier-Lame equation for elastic image co-registration. The rigid transformation is used for the preliminary processing, and the non-rigid transformation allows for successful co-registration of both image sets. Our results were evaluated visually, and the MI indices were calculated. These algorithms allowed for image co-registration in different imaging sessions during the course of treatment.",

keywords = "Breast imagining, Image processing, Image registration, MRI",

author = "Pawe{\l} Bzowski and Marta Danch-Wierzchowska and Krzysztof Psiuk-Maksymowicz and Rafa{\l} Panek and Damian Borys",

note = "Publisher Copyright: {\textcopyright} 2019, Springer International Publishing AG, part of Springer Nature.; 6th International Conference on Information Technology in Biomedicine, ITIB 2018 ; Conference date: 18-06-2018 Through 20-06-2018",

year = "2019",

doi = "10.1007/978-3-319-91211-0\_13",

language = "English",

isbn = "9783319912103",

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publisher = "Springer Verlag",

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address = "Germany",

}

Bzowski, P, Danch-Wierzchowska, M, Psiuk-Maksymowicz, K, Panek, R & Borys, D 2019, Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring. in E Pietka, P Badura, J Kawa & W Wieclawek (eds), Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB’2018. Advances in Intelligent Systems and Computing, vol. 762, Springer Verlag, pp. 150-159, 6th International Conference on Information Technology in Biomedicine, ITIB 2018, Kamien Slaski, Poland, 18/06/18. https://doi.org/10.1007/978-3-319-91211-0_13

Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring. / Bzowski, Paweł; Danch-Wierzchowska, Marta; Psiuk-Maksymowicz, Krzysztof et al.
Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB’2018. ed. / Ewa Pietka; Pawel Badura; Jacek Kawa; Wojciech Wieclawek. Springer Verlag, 2019. p. 150-159 (Advances in Intelligent Systems and Computing; Vol. 762).

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

TY - GEN

T1 - Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring

AU - Bzowski, Paweł

AU - Danch-Wierzchowska, Marta

AU - Psiuk-Maksymowicz, Krzysztof

AU - Panek, Rafał

AU - Borys, Damian

PY - 2019

Y1 - 2019

N2 - One of the most common methods in breast cancer radiotherapy planning is Magnetic Resonance Imaging (MRI). It is also used for patient evaluation during treatment because of its sensitivity and lack of ionizing radiation. During each imaging session a patient position can be different and inaccuracies can occur. In this case it is very difficult to compare two image sets originating from different patient examination. The main goals of this work were to implement an algorithm, based on affine transformation with Mutual Information as the quality factor of images match and the method based on the Navier-Lame equation for elastic image co-registration. The rigid transformation is used for the preliminary processing, and the non-rigid transformation allows for successful co-registration of both image sets. Our results were evaluated visually, and the MI indices were calculated. These algorithms allowed for image co-registration in different imaging sessions during the course of treatment.

AB - One of the most common methods in breast cancer radiotherapy planning is Magnetic Resonance Imaging (MRI). It is also used for patient evaluation during treatment because of its sensitivity and lack of ionizing radiation. During each imaging session a patient position can be different and inaccuracies can occur. In this case it is very difficult to compare two image sets originating from different patient examination. The main goals of this work were to implement an algorithm, based on affine transformation with Mutual Information as the quality factor of images match and the method based on the Navier-Lame equation for elastic image co-registration. The rigid transformation is used for the preliminary processing, and the non-rigid transformation allows for successful co-registration of both image sets. Our results were evaluated visually, and the MI indices were calculated. These algorithms allowed for image co-registration in different imaging sessions during the course of treatment.

KW - Breast imagining

KW - Image processing

KW - Image registration

KW - MRI

UR - https://www.scopus.com/pages/publications/85048460515

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DO - 10.1007/978-3-319-91211-0_13

M3 - Conference contribution

AN - SCOPUS:85048460515

SN - 9783319912103

T3 - Advances in Intelligent Systems and Computing

SP - 150

EP - 159

BT - Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB’2018

A2 - Pietka, Ewa

A2 - Badura, Pawel

A2 - Kawa, Jacek

A2 - Wieclawek, Wojciech

PB - Springer Verlag

T2 - 6th International Conference on Information Technology in Biomedicine, ITIB 2018

Y2 - 18 June 2018 through 20 June 2018

ER -

Bzowski P, Danch-Wierzchowska M, Psiuk-Maksymowicz K, Panek R, Borys D. Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring. In Pietka E, Badura P, Kawa J, Wieclawek W, editors, Information Technology in Biomedicine - Proceedings 6th International Conference, ITIB’2018. Springer Verlag. 2019. p. 150-159. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-91211-0_13

Rigid and non-rigid registration algorithm evaluation in MRI for breast cancer therapy monitoring

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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