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Dentalmaps: Automatic Dental Delineation for Radiotherapy Planning in Head-and-Neck Cancer

Authors :
François Demard
Grégoire Malandain
Vincent Grégoire
Laurent Castillo
G. Odin
A. Bozec
Pierre-Yves Marcy
Nicolas Guevara
Liliane Ramus
Serge Marcie
Gilles Poissonnet
Marie-Helene Orlanducci
Juliette Thariat
José Santini
Philippe Maingon
Olivier Dassonville
Vincent Darcourt
Source :
International Journal of Radiation Oncology*Biology*Physics. 82:1858-1865
Publication Year :
2012
Publisher :
Elsevier BV, 2012.

Abstract

Purpose: To propose an automatic atlas-based segmentation framework of the dental structures, called Dentalmaps, and to assess its accuracy and relevance to guide dental care in the context of intensity-modulated radiotherapy. Methods and Materials: A multi-atlas-based segmentation, less sensitive to artifacts than previously published head-and-neck segmentation methods, was used. The manual segmentations of a 21-patient database were first deformed onto the query using nonlinear registrations with the training images and then fused to estimate the consensus segmentation of the query. Results: The framework was evaluated with a leave-one-out protocol. The maximum doses estimated using manual contours were considered as ground truth and compared with the maximum doses estimated using automatic contours. The dose estimation error was within 2-Gy accuracy in 75% of cases (with a median of 0.9 Gy), whereas it was within 2-Gy accuracy in 30% of cases only with the visual estimation method without any contour, which is the routine practice procedure. Conclusions: Dose estimates using this framework were more accurate than visual estimates without dental contour. Dentalmaps represents a useful documentation and communication tool between radiation oncologists and dentists in routine practice. Prospective multicenter assessment is underway on patients extrinsic to the database. © 2012 Elsevier Inc.

Details

ISSN :
03603016
Volume :
82
Database :
OpenAIRE
Journal :
International Journal of Radiation Oncology*Biology*Physics
Accession number :
edsair.doi.dedup.....ecd86c913d1505ab4e46be33e7091e45