3D PET-driven multi-phase segmentation of meningiomas in MRI

H. Urien; I. Buvat; N. Rougon; S. Boughdad; I. Block

doi:10.1109/ISBI.2016.7493294

3D PET-driven multi-phase segmentation of meningiomas in MRI

H. Urien
, I. Buvat
, N. Rougon
, S. Boughdad
, I. Block

Université Paris-Saclay
INSERM U869
Institut Curie

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

Combining anatomical and functional information from Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) scans brings great opportunities to improve diagnosis in oncology and treatment planning in radiation oncology. In this work, we propose a PET-guided MR tumor segmentation method minimizing a globally convex energy in a multiphase framework to account for the context variability of lesions. The method was evaluated in four patients with atypical meningiomas of different shapes, locations and metabolism, and the Dice index obtained by comparing with a manual tumor segmentation performed by an expert was 0.65 ± 0.13. The results demonstrated a good ability of the method to differentiate tumors from tissues with similar MRI intensity values.

langue originale	Anglais
titre	2016 IEEE International Symposium on Biomedical Imaging
Sous-titre	From Nano to Macro, ISBI 2016 - Proceedings
Editeur	IEEE Computer Society
Pages	407-410
Nombre de pages	4
ISBN (Electronique)	9781479923502
Les DOIs	https://doi.org/10.1109/ISBI.2016.7493294
état	Publié - 15 juin 2016
Evénement	13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, République tchcque Durée: 13 avr. 2016 → 16 avr. 2016

Série de publications

Nom	Proceedings - International Symposium on Biomedical Imaging
Volume	2016-June
ISSN (imprimé)	1945-7928
ISSN (Electronique)	1945-8452

Une conférence

Une conférence	13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Pays/Territoire	République tchcque
La ville	Prague
période	13/04/16 → 16/04/16

Accès au document

10.1109/ISBI.2016.7493294

Contient cette citation

Urien, H., Buvat, I., Rougon, N., Boughdad, S., & Block, I. (2016). 3D PET-driven multi-phase segmentation of meningiomas in MRI. Dans 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (p. 407-410). Article 7493294 (Proceedings - International Symposium on Biomedical Imaging; Vol 2016-June). IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493294

@inproceedings{577cf9459db04aa792cc5608a1123fcb,

title = "3D PET-driven multi-phase segmentation of meningiomas in MRI",

abstract = "Combining anatomical and functional information from Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) scans brings great opportunities to improve diagnosis in oncology and treatment planning in radiation oncology. In this work, we propose a PET-guided MR tumor segmentation method minimizing a globally convex energy in a multiphase framework to account for the context variability of lesions. The method was evaluated in four patients with atypical meningiomas of different shapes, locations and metabolism, and the Dice index obtained by comparing with a manual tumor segmentation performed by an expert was 0.65 ± 0.13. The results demonstrated a good ability of the method to differentiate tumors from tissues with similar MRI intensity values.",

keywords = "Brain Tumor, Magnetic Resonance Imaging (MRI), Multimodal segmentation, Positron Emission Tomography (PET), variational method",

author = "H. Urien and I. Buvat and N. Rougon and S. Boughdad and I. Block",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 ; Conference date: 13-04-2016 Through 16-04-2016",

year = "2016",

month = jun,

day = "15",

doi = "10.1109/ISBI.2016.7493294",

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publisher = "IEEE Computer Society",

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Urien, H, Buvat, I, Rougon, N, Boughdad, S & Block, I 2016, 3D PET-driven multi-phase segmentation of meningiomas in MRI. Dans 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings., 7493294, Proceedings - International Symposium on Biomedical Imaging, VOL. 2016-June, IEEE Computer Society, p. 407-410, 13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, République tchcque, 13/04/16. https://doi.org/10.1109/ISBI.2016.7493294

3D PET-driven multi-phase segmentation of meningiomas in MRI. / Urien, H.; Buvat, I.; Rougon, N. et al.
2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, 2016. p. 407-410 7493294 (Proceedings - International Symposium on Biomedical Imaging; Vol 2016-June).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - 3D PET-driven multi-phase segmentation of meningiomas in MRI

AU - Urien, H.

AU - Buvat, I.

AU - Rougon, N.

AU - Boughdad, S.

AU - Block, I.

PY - 2016/6/15

Y1 - 2016/6/15

N2 - Combining anatomical and functional information from Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) scans brings great opportunities to improve diagnosis in oncology and treatment planning in radiation oncology. In this work, we propose a PET-guided MR tumor segmentation method minimizing a globally convex energy in a multiphase framework to account for the context variability of lesions. The method was evaluated in four patients with atypical meningiomas of different shapes, locations and metabolism, and the Dice index obtained by comparing with a manual tumor segmentation performed by an expert was 0.65 ± 0.13. The results demonstrated a good ability of the method to differentiate tumors from tissues with similar MRI intensity values.

AB - Combining anatomical and functional information from Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) scans brings great opportunities to improve diagnosis in oncology and treatment planning in radiation oncology. In this work, we propose a PET-guided MR tumor segmentation method minimizing a globally convex energy in a multiphase framework to account for the context variability of lesions. The method was evaluated in four patients with atypical meningiomas of different shapes, locations and metabolism, and the Dice index obtained by comparing with a manual tumor segmentation performed by an expert was 0.65 ± 0.13. The results demonstrated a good ability of the method to differentiate tumors from tissues with similar MRI intensity values.

KW - Brain Tumor

KW - Magnetic Resonance Imaging (MRI)

KW - Multimodal segmentation

KW - Positron Emission Tomography (PET)

KW - variational method

U2 - 10.1109/ISBI.2016.7493294

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BT - 2016 IEEE International Symposium on Biomedical Imaging

PB - IEEE Computer Society

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ER -

3D PET-driven multi-phase segmentation of meningiomas in MRI

Résumé

Série de publications

Une conférence

Accès au document

Empreinte digitale

Contient cette citation