[Automatic image segmentation for treatment planning in radiotherapy].
One drawback of the growth in conformal radiotherapy and image-guided radiotherapy is the increased time needed to define the volumes of interest. This also results in inter- and intra-observer variability. However, developments in computing and image processing have enabled these tasks to be partially or totally automated. This article will provide a detailed description of the main principles of image segmentation in radiotherapy, its applications and the most recent results in a clinical context.
Centre Galilée, polyclinique de la Louvière, 69 rue de la Louvière, 59000 Lille, France. davidpasquier@free.fr
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D
Pasquier
L
L
Peyrodie
F
F
Denis
Y
Y
Pointreau
G
G
Béra
E
E
Lartigau
D001331:Automation; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D018787:Radiation Oncology / Q000379:methods*; D011880:Radiotherapy Planning, Computer-Assisted / Q000379:methods*; D020266:Radiotherapy, Conformal / Q000379:methods*