2D versus 3D total variation minimization in digital breast tomosynthesis

Metin Ertas; Aydin Akan; Isa Yildirim; Ali Dinler; Mustafa Kamasak

doi:10.1109/IST.2015.7294553

2D versus 3D total variation minimization in digital breast tomosynthesis

Metin Ertas
, Aydin Akan
, Isa Yildirim
, Ali Dinler
, Mustafa Kamasak

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

Total variation (TV) minimization has become an important tool for the sparse image reconstruction. In this study a realistic 3D digital breast tomosynthesis (DBT) data was reconstructed and compared using two different forms of TV: (i) 2D reconstruction by applying TV layer by layer (ii) 3D reconstruction of the entire data. It can be assumed that a 3D reconstruction should perform better. However, in real DBT the resolution in z direction is about 10-15 times lower than the resolution in x-y plane. This study investigates the performance of the reconstruction when a TV term in z direction is added into the cost function of TV minimization.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781479986330
DOI'lar	https://doi.org/10.1109/IST.2015.7294553
Yayın durumu	Yayınlandı - 7 Eki 2015
Etkinlik	12th IEEE International Conference on Imaging Systems and Techniques, IST 2015 - Macau, China Süre: 16 Eyl 2015 → 18 Eyl 2015

Yayın serisi

Adı	IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	12th IEEE International Conference on Imaging Systems and Techniques, IST 2015
Ülke/Bölge	China
Şehir	Macau
Periyot	16/09/15 → 18/09/15

Bibliyografik not

Publisher Copyright:
© 2015 IEEE.

Belgeye Erişim

10.1109/IST.2015.7294553

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Ertas, M., Akan, A., Yildirim, I., Dinler, A., & Kamasak, M. (2015). 2D versus 3D total variation minimization in digital breast tomosynthesis. In IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings Makale 7294553 (IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IST.2015.7294553

Ertas, Metin ; Akan, Aydin ; Yildirim, Isa et al. / 2D versus 3D total variation minimization in digital breast tomosynthesis. IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. (IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings).

@inproceedings{16f9fb695da942159041edbc1db5ef8b,

title = "2D versus 3D total variation minimization in digital breast tomosynthesis",

abstract = "Total variation (TV) minimization has become an important tool for the sparse image reconstruction. In this study a realistic 3D digital breast tomosynthesis (DBT) data was reconstructed and compared using two different forms of TV: (i) 2D reconstruction by applying TV layer by layer (ii) 3D reconstruction of the entire data. It can be assumed that a 3D reconstruction should perform better. However, in real DBT the resolution in z direction is about 10-15 times lower than the resolution in x-y plane. This study investigates the performance of the reconstruction when a TV term in z direction is added into the cost function of TV minimization.",

keywords = "compressed sensing, digital breast tomosynthesis, total variation",

author = "Metin Ertas and Aydin Akan and Isa Yildirim and Ali Dinler and Mustafa Kamasak",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Conference on Imaging Systems and Techniques, IST 2015 ; Conference date: 16-09-2015 Through 18-09-2015",

year = "2015",

month = oct,

day = "7",

doi = "10.1109/IST.2015.7294553",

language = "English",

series = "IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings",

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

booktitle = "IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings",

address = "United States",

}

Ertas, M, Akan, A, Yildirim, I, Dinler, A & Kamasak, M 2015, 2D versus 3D total variation minimization in digital breast tomosynthesis. in IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings., 7294553, IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings, Institute of Electrical and Electronics Engineers Inc., 12th IEEE International Conference on Imaging Systems and Techniques, IST 2015, Macau, China, 16/09/15. https://doi.org/10.1109/IST.2015.7294553

2D versus 3D total variation minimization in digital breast tomosynthesis. / Ertas, Metin; Akan, Aydin; Yildirim, Isa et al.
IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7294553 (IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - 2D versus 3D total variation minimization in digital breast tomosynthesis

AU - Ertas, Metin

AU - Akan, Aydin

AU - Yildirim, Isa

AU - Dinler, Ali

AU - Kamasak, Mustafa

PY - 2015/10/7

Y1 - 2015/10/7

N2 - Total variation (TV) minimization has become an important tool for the sparse image reconstruction. In this study a realistic 3D digital breast tomosynthesis (DBT) data was reconstructed and compared using two different forms of TV: (i) 2D reconstruction by applying TV layer by layer (ii) 3D reconstruction of the entire data. It can be assumed that a 3D reconstruction should perform better. However, in real DBT the resolution in z direction is about 10-15 times lower than the resolution in x-y plane. This study investigates the performance of the reconstruction when a TV term in z direction is added into the cost function of TV minimization.

AB - Total variation (TV) minimization has become an important tool for the sparse image reconstruction. In this study a realistic 3D digital breast tomosynthesis (DBT) data was reconstructed and compared using two different forms of TV: (i) 2D reconstruction by applying TV layer by layer (ii) 3D reconstruction of the entire data. It can be assumed that a 3D reconstruction should perform better. However, in real DBT the resolution in z direction is about 10-15 times lower than the resolution in x-y plane. This study investigates the performance of the reconstruction when a TV term in z direction is added into the cost function of TV minimization.

KW - compressed sensing

KW - digital breast tomosynthesis

KW - total variation

UR - https://www.scopus.com/pages/publications/84962724903

U2 - 10.1109/IST.2015.7294553

DO - 10.1109/IST.2015.7294553

M3 - Conference contribution

AN - SCOPUS:84962724903

T3 - IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings

BT - IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE International Conference on Imaging Systems and Techniques, IST 2015

Y2 - 16 September 2015 through 18 September 2015

ER -

Ertas M, Akan A, Yildirim I, Dinler A, Kamasak M. 2D versus 3D total variation minimization in digital breast tomosynthesis. In IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. 7294553. (IST 2015 - 2015 IEEE International Conference on Imaging Systems and Techniques, Proceedings). doi: 10.1109/IST.2015.7294553

2D versus 3D total variation minimization in digital breast tomosynthesis

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap