Semi-automatic lymph node segmentation in LN-MRI

G. Unal; G. Slabaugh; A. Ess; A. Yezzi; T. Fang; J. Tyan; M. Requardt; R. Krieg; R. Seethamraju; M. Harisinghani; R. Weissleder

doi:10.1109/ICIP.2006.312366

Semi-automatic lymph node segmentation in LN-MRI

G. Unal^*
, G. Slabaugh
, A. Ess
, A. Yezzi
, T. Fang
, J. Tyan
, M. Requardt
, R. Krieg
, R. Seethamraju
, M. Harisinghani
, R. Weissleder

^*Bu çalışma için yazışmadan sorumlu yazar

Siemens
Swiss Federal Institute of Technology Zurich
Georgia Institute of Technology
Harvard University

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

20 Atıf (Scopus)

Özet

Accurate staging of nodal cancer still relies on surgical exploration because many primary malignancies spread via lymphatic dissemination. The purpose of this study was to utilize nanoparticle-enhanced lymphotropic magnetic resonance imaging (LN-MRI) to explore semi-automated noninvasive nodal cancer staging. We present a joint image segmentation and registration approach, which makes use of the problem specific information to increase the robustness of the algorithm to noise and weak contrast often observed in medical imaging applications. The effectiveness of the approach is demonstrated with a given lymph node segmentation problem in post-contrast pelvic MRI sequences.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Sayfalar	77-80
Sayfa sayısı	4
DOI'lar	https://doi.org/10.1109/ICIP.2006.312366
Yayın durumu	Yayınlandı - 2006
Harici olarak yayınlandı	Evet
Etkinlik	2006 IEEE International Conference on Image Processing, ICIP 2006 - Atlanta, GA, United States Süre: 8 Eki 2006 → 11 Eki 2006

Yayın serisi

Adı	Proceedings - International Conference on Image Processing, ICIP
ISSN (Basılı)	1522-4880

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???event.eventtypes.event.conference???	2006 IEEE International Conference on Image Processing, ICIP 2006
Ülke/Bölge	United States
Şehir	Atlanta, GA
Periyot	8/10/06 → 11/10/06

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 3 Sağlık ve Kaliteli Yaşam

Belgeye Erişim

10.1109/ICIP.2006.312366

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Unal, G., Slabaugh, G., Ess, A., Yezzi, A., Fang, T., Tyan, J., Requardt, M., Krieg, R., Seethamraju, R., Harisinghani, M., & Weissleder, R. (2006). Semi-automatic lymph node segmentation in LN-MRI. In 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings (pp. 77-80). Makale 4106470 (Proceedings - International Conference on Image Processing, ICIP). https://doi.org/10.1109/ICIP.2006.312366

@inproceedings{0591f2131a22427b86f3b8fcb17f80e0,

title = "Semi-automatic lymph node segmentation in LN-MRI",

abstract = "Accurate staging of nodal cancer still relies on surgical exploration because many primary malignancies spread via lymphatic dissemination. The purpose of this study was to utilize nanoparticle-enhanced lymphotropic magnetic resonance imaging (LN-MRI) to explore semi-automated noninvasive nodal cancer staging. We present a joint image segmentation and registration approach, which makes use of the problem specific information to increase the robustness of the algorithm to noise and weak contrast often observed in medical imaging applications. The effectiveness of the approach is demonstrated with a given lymph node segmentation problem in post-contrast pelvic MRI sequences.",

keywords = "Biomedical image processing, Biomedical magnetic resonance imaging, Image segmentation, Medical diagnosis",

author = "G. Unal and G. Slabaugh and A. Ess and A. Yezzi and T. Fang and J. Tyan and M. Requardt and R. Krieg and R. Seethamraju and M. Harisinghani and R. Weissleder",

year = "2006",

doi = "10.1109/ICIP.2006.312366",

language = "English",

isbn = "1424404819",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "77--80",

booktitle = "2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings",

note = "2006 IEEE International Conference on Image Processing, ICIP 2006 ; Conference date: 08-10-2006 Through 11-10-2006",

}

Unal, G, Slabaugh, G, Ess, A, Yezzi, A, Fang, T, Tyan, J, Requardt, M, Krieg, R, Seethamraju, R, Harisinghani, M & Weissleder, R 2006, Semi-automatic lymph node segmentation in LN-MRI. in 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings., 4106470, Proceedings - International Conference on Image Processing, ICIP, pp. 77-80, 2006 IEEE International Conference on Image Processing, ICIP 2006, Atlanta, GA, United States, 8/10/06. https://doi.org/10.1109/ICIP.2006.312366

TY - GEN

T1 - Semi-automatic lymph node segmentation in LN-MRI

AU - Unal, G.

AU - Slabaugh, G.

AU - Ess, A.

AU - Yezzi, A.

AU - Fang, T.

AU - Tyan, J.

AU - Requardt, M.

AU - Krieg, R.

AU - Seethamraju, R.

AU - Harisinghani, M.

AU - Weissleder, R.

PY - 2006

Y1 - 2006

N2 - Accurate staging of nodal cancer still relies on surgical exploration because many primary malignancies spread via lymphatic dissemination. The purpose of this study was to utilize nanoparticle-enhanced lymphotropic magnetic resonance imaging (LN-MRI) to explore semi-automated noninvasive nodal cancer staging. We present a joint image segmentation and registration approach, which makes use of the problem specific information to increase the robustness of the algorithm to noise and weak contrast often observed in medical imaging applications. The effectiveness of the approach is demonstrated with a given lymph node segmentation problem in post-contrast pelvic MRI sequences.

AB - Accurate staging of nodal cancer still relies on surgical exploration because many primary malignancies spread via lymphatic dissemination. The purpose of this study was to utilize nanoparticle-enhanced lymphotropic magnetic resonance imaging (LN-MRI) to explore semi-automated noninvasive nodal cancer staging. We present a joint image segmentation and registration approach, which makes use of the problem specific information to increase the robustness of the algorithm to noise and weak contrast often observed in medical imaging applications. The effectiveness of the approach is demonstrated with a given lymph node segmentation problem in post-contrast pelvic MRI sequences.

KW - Biomedical image processing

KW - Biomedical magnetic resonance imaging

KW - Image segmentation

KW - Medical diagnosis

UR - https://www.scopus.com/pages/publications/63149099059

U2 - 10.1109/ICIP.2006.312366

DO - 10.1109/ICIP.2006.312366

M3 - Conference contribution

AN - SCOPUS:63149099059

SN - 1424404819

SN - 9781424404810

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 77

EP - 80

BT - 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings

T2 - 2006 IEEE International Conference on Image Processing, ICIP 2006

Y2 - 8 October 2006 through 11 October 2006

ER -

Semi-automatic lymph node segmentation in LN-MRI

Özet

Yayın serisi

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BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

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