Title :

A Fast and Fully Automated Approach to Segment Optic Nerves on MRI and its application to radiosurgery

Author(s) :

Dolz, Jose [Auteur]
Thérapies Assistées par Lasers et Immunothérapies pour l'Oncologie - U 1189 [OncoThAI]
Leroy, Henri-Arthur [Auteur]
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Reyns, Nicolas [Auteur]
Département de Neurochirurgie[Lille]
Massoptier, Laurent [Auteur]
Vermandel, Maximilien [Auteur]
Thérapies Assistées par Lasers et Immunothérapies pour l'Oncologie - U 1189 [OncoThAI]

Conference title :

12th IEEE International Symposium on Biomedical Imaging

City :

New York

Country :

Etats-Unis d'Amérique

Start date of the conference :

2015-04-16

English keyword(s) :

MRI
radiosurgery
optic nerves segmentation
machine learning
support vector machines

HAL domain(s) :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
Informatique [cs]/Imagerie médicale
Informatique [cs]/Traitement des images [eess.IV]
Sciences du Vivant [q-bio]/Cancer

English abstract : [en]

Delineating critical structures of the brain is required for advanced radiotherapy technologies to determine whether the dose from the proposed treatment will impair the functional-ity of those structures. Employing an ...
Show more >Delineating critical structures of the brain is required for advanced radiotherapy technologies to determine whether the dose from the proposed treatment will impair the functional-ity of those structures. Employing an automatic segmentation computer module in the radiation oncology treatment planning process has the potential to significantly increase the efficiency , cost-effectiveness, and, ultimately, clinical outcome of patients undergoing radiation therapy. Atlas-based seg-mentation has shown to be a suitable tool for the segmentation of large structures such as the brainstem or the cerebellum. However, smaller structures such as the optic nerves are more difficult to segment. In this work, we present a novel approach to automatically segment the optic nerves, which is based on Support Vector Machines (SVM). Compared to state of the art methods, the presented method obtained a better performance in regards to accuracy, robustness and processing time, being a suitable trade-off between these three factors.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

European Project :

Software for the Use of Multi-Modality images in External Radiotherapy

Collections :

• Thérapies Lasers Assistées par l'Image pour l'Oncologie (ONCO-THAI) - U1189

Source :

Harvested from HAL