Breast Lesion Segmentation in DCE- MRI Imaging

Zuzanna Koper; Mariusz Frackiewicz; Henryk Palus; Damian Borys; Krzysztof Psiuk-Maksymowicz

doi:10.1109/SITIS.2018.00054

Breast Lesion Segmentation in DCE- MRI Imaging

Silesian University of Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

11 Cytowania z bazy Scopus

Abstrakt

Breast cancer is one of the most common cancers in women. Typically, the course of the disease is asymptomatic in the early stages of breast cancer. Imaging breast examinations allow early detection of the cancer, which is associated with increased chances of a complete cure. There are many breast imaging techniques such as: mammography (MM), ultrasound imaging (US), positron-emission tomography (PET), computed tomography (CT), and magnetic resonance imaging (MRI). These imaging techniques differ in terms of effectiveness, price, type of physical phenomenon, the impact on the patient and its availability. In this paper, we focus on MRI imaging and we compare three breast lesion segmentation algorithms that have been tested on QIN Breast DCE-MRI database, which is publicly available. The obtained values of Dice and Jaccard indices indicate the segmentation using k-means algorithm.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
Redaktorzy	Richard Chbeir, Gabriella Sanniti di Baja, Luigi Gallo, Kokou Yetongnon, Albert Dipanda, Modesto Castrillon-Santana
Wydawca	Institute of Electrical and Electronics Engineers Inc.
Strony	308-313
Liczba stron	6
ISBN (elektroniczny)	9781538693858
Identyfikatory DOI	https://doi.org/10.1109/SITIS.2018.00054
Status publikacji	Opublikowano - 2 lip 2018
Wydarzenie	14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018 - Las Palmas de Gran Canaria, Hiszpania Czas trwania: 26 lis 2018 → 29 lis 2018

Seria publikacji

Nazwa	Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018

Konferencja

Konferencja	14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018
Kraj/Terytorium	Hiszpania
Miejscowość	Las Palmas de Gran Canaria
Okres	26/11/18 → 29/11/18

Cele SDG ONZ

Ten wynik przyczynia się do realizacji następujących celów zrównoważonego rozwoju

Cel 3 Dobre zdrowie i dobre samopoczucie

Obszary tematyczne ASJC Scopus

Sieci komputerowe i komunikacja
Rozpoznawanie obrazów i wzorów

Uzyskaj dostęp do dokumentu

10.1109/SITIS.2018.00054

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Cytowanie

Koper, Z., Frackiewicz, M., Palus, H., Borys, D., & Psiuk-Maksymowicz, K. (2018). Breast Lesion Segmentation in DCE- MRI Imaging. W R. Chbeir, G. S. di Baja, L. Gallo, K. Yetongnon, A. Dipanda, & M. Castrillon-Santana (Red.), Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018 (str. 308-313). Artykułu 8706227 (Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SITIS.2018.00054

Koper, Zuzanna ; Frackiewicz, Mariusz ; Palus, Henryk i in. / Breast Lesion Segmentation in DCE- MRI Imaging. Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018. redaktor / Richard Chbeir ; Gabriella Sanniti di Baja ; Luigi Gallo ; Kokou Yetongnon ; Albert Dipanda ; Modesto Castrillon-Santana. Institute of Electrical and Electronics Engineers Inc., 2018. str. 308-313 (Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018).

@inproceedings{df638b5064c8450c99a0d54b4fc77633,

title = "Breast Lesion Segmentation in DCE- MRI Imaging",

abstract = "Breast cancer is one of the most common cancers in women. Typically, the course of the disease is asymptomatic in the early stages of breast cancer. Imaging breast examinations allow early detection of the cancer, which is associated with increased chances of a complete cure. There are many breast imaging techniques such as: mammography (MM), ultrasound imaging (US), positron-emission tomography (PET), computed tomography (CT), and magnetic resonance imaging (MRI). These imaging techniques differ in terms of effectiveness, price, type of physical phenomenon, the impact on the patient and its availability. In this paper, we focus on MRI imaging and we compare three breast lesion segmentation algorithms that have been tested on QIN Breast DCE-MRI database, which is publicly available. The obtained values of Dice and Jaccard indices indicate the segmentation using k-means algorithm.",

keywords = "Breast lesion segmentation, DCE-MRI, Medical imaging",

author = "Zuzanna Koper and Mariusz Frackiewicz and Henryk Palus and Damian Borys and Krzysztof Psiuk-Maksymowicz",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018 ; Conference date: 26-11-2018 Through 29-11-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/SITIS.2018.00054",

language = "English",

series = "Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "308--313",

editor = "Richard Chbeir and \{di Baja\}, \{Gabriella Sanniti\} and Luigi Gallo and Kokou Yetongnon and Albert Dipanda and Modesto Castrillon-Santana",

booktitle = "Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018",

address = "United States",

}

Koper, Z, Frackiewicz, M , Palus, H , Borys, D & Psiuk-Maksymowicz, K 2018, Breast Lesion Segmentation in DCE- MRI Imaging. w R Chbeir, GS di Baja, L Gallo, K Yetongnon, A Dipanda & M Castrillon-Santana (red), Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018., 8706227, Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018, Institute of Electrical and Electronics Engineers Inc., str. 308-313, 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018, Las Palmas de Gran Canaria, Hiszpania, 26/11/18. https://doi.org/10.1109/SITIS.2018.00054

Breast Lesion Segmentation in DCE- MRI Imaging. / Koper, Zuzanna; Frackiewicz, Mariusz ; Palus, Henryk i in.
Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018. red. / Richard Chbeir; Gabriella Sanniti di Baja; Luigi Gallo; Kokou Yetongnon; Albert Dipanda; Modesto Castrillon-Santana. Institute of Electrical and Electronics Engineers Inc., 2018. str. 308-313 8706227 (Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Breast Lesion Segmentation in DCE- MRI Imaging

AU - Koper, Zuzanna

AU - Frackiewicz, Mariusz

AU - Palus, Henryk

AU - Borys, Damian

AU - Psiuk-Maksymowicz, Krzysztof

PY - 2018/7/2

Y1 - 2018/7/2

N2 - Breast cancer is one of the most common cancers in women. Typically, the course of the disease is asymptomatic in the early stages of breast cancer. Imaging breast examinations allow early detection of the cancer, which is associated with increased chances of a complete cure. There are many breast imaging techniques such as: mammography (MM), ultrasound imaging (US), positron-emission tomography (PET), computed tomography (CT), and magnetic resonance imaging (MRI). These imaging techniques differ in terms of effectiveness, price, type of physical phenomenon, the impact on the patient and its availability. In this paper, we focus on MRI imaging and we compare three breast lesion segmentation algorithms that have been tested on QIN Breast DCE-MRI database, which is publicly available. The obtained values of Dice and Jaccard indices indicate the segmentation using k-means algorithm.

AB - Breast cancer is one of the most common cancers in women. Typically, the course of the disease is asymptomatic in the early stages of breast cancer. Imaging breast examinations allow early detection of the cancer, which is associated with increased chances of a complete cure. There are many breast imaging techniques such as: mammography (MM), ultrasound imaging (US), positron-emission tomography (PET), computed tomography (CT), and magnetic resonance imaging (MRI). These imaging techniques differ in terms of effectiveness, price, type of physical phenomenon, the impact on the patient and its availability. In this paper, we focus on MRI imaging and we compare three breast lesion segmentation algorithms that have been tested on QIN Breast DCE-MRI database, which is publicly available. The obtained values of Dice and Jaccard indices indicate the segmentation using k-means algorithm.

KW - Breast lesion segmentation

KW - DCE-MRI

KW - Medical imaging

UR - https://www.scopus.com/pages/publications/85065906642

U2 - 10.1109/SITIS.2018.00054

DO - 10.1109/SITIS.2018.00054

M3 - Conference contribution

AN - SCOPUS:85065906642

T3 - Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018

SP - 308

EP - 313

BT - Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018

A2 - Chbeir, Richard

A2 - di Baja, Gabriella Sanniti

A2 - Gallo, Luigi

A2 - Yetongnon, Kokou

A2 - Dipanda, Albert

A2 - Castrillon-Santana, Modesto

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018

Y2 - 26 November 2018 through 29 November 2018

ER -

Koper Z, Frackiewicz M , Palus H , Borys D , Psiuk-Maksymowicz K. Breast Lesion Segmentation in DCE- MRI Imaging. W Chbeir R, di Baja GS, Gallo L, Yetongnon K, Dipanda A, Castrillon-Santana M, redaktorzy, Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. str. 308-313. 8706227. (Proceedings - 14th International Conference on Signal Image Technology and Internet Based Systems, SITIS 2018). doi: 10.1109/SITIS.2018.00054

Breast Lesion Segmentation in DCE- MRI Imaging

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