Personalized Anatomic Eye Model From T1-Weighted Volume Interpolated Gradient Echo Magnetic Resonance Imaging of Patients With Uveal Melanoma.

Détails

ID Serval
serval:BIB_9F44E08CE265
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Personalized Anatomic Eye Model From T1-Weighted Volume Interpolated Gradient Echo Magnetic Resonance Imaging of Patients With Uveal Melanoma.
Périodique
International journal of radiation oncology, biology, physics
Auteur(s)
Nguyen H.G., Sznitman R., Maeder P., Schalenbourg A., Peroni M., Hrbacek J., Weber D.C., Pica A., Bach Cuadra M.
ISSN
1879-355X (Electronic)
ISSN-L
0360-3016
Statut éditorial
Publié
Date de publication
15/11/2018
Peer-reviewed
Oui
Volume
102
Numéro
4
Pages
813-820
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
We present a 3-dimensional patient-specific eye model from magnetic resonance imaging (MRI) for proton therapy treatment planning of uveal melanoma (UM). During MRI acquisition of UM patients, the point fixation can be difficult and, together with physiological blinking, can introduce motion artifacts in the images, thus challenging the model creation. Furthermore, the unclear boundary of the small objects (eg, lens, optic nerve) near the muscle or of the tumors with hemorrhage and tantalum clips can limit model accuracy.
A dataset of 37 subjects, including 30 healthy eyes of volunteers and 7 eyes of UM patients, was investigated. In our previous work, active shape model was successfully applied to retinoblastoma eye segmentation in T1-weighted 3T MRI. Here, we evaluate this method in a more challenging setting, based on 1.5T MRI acquisition and different datasets of awake adult eyes with UM. The lens and cornea together with the sclera, vitreous humor, and optic nerve were automatically segmented and validated against manual delineations of a senior ocular radiation oncologist, in terms of the Dice similarity coefficient and Hausdorff distance.
Leave-one-out cross validation (mixing both volunteers and UM patients) yielded median Dice similarity coefficient values (respective of Hausdorff distance) of 94.5% (1.64 mm) for the sclera, 92.2% (1.73 mm) for the vitreous humor, 88.3% (1.09 mm) for the lens, and 81.9% (1.86 mm) for the optic nerve. The average computation time for an eye was 10 seconds.
To our knowledge, our work is the first attempt to automatically segment adult eyes, including patients with UM. Our results show that automated active shape model segmentation can succeed in the presence of motion, tumors, and tantalum clips. These results are promising for inclusion in clinical practice.
Mots-clé
Adult, Aged, Humans, Magnetic Resonance Imaging/methods, Melanoma/diagnostic imaging, Middle Aged, Uveal Neoplasms/diagnostic imaging, Young Adult
Pubmed
Web of science
Création de la notice
18/07/2018 17:00
Dernière modification de la notice
20/08/2019 16:05
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