Title of article :
Optimisation de la balistique dʹirradiation des cancers du cavum: Association dʹun système-expert et dʹun algorithme mathématique
Author/Authors :
Buchheit، نويسنده , , I and Aletti، نويسنده , , P and Elles، نويسنده , , S and Malissard، نويسنده , , L and Bey، نويسنده , , Chouvet، Marie-Pierre نويسنده , , MP، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1997
Abstract :
Summary
zation of radiation therapy in nasopharyngeal carcinoma is particularly complex due to both the proximity of at risk organs and the high dose that has to be delivered. To obtain an optimal dose distribution, a knowledgebased optimization technique has been designed that associates an expert-system, named CAVCAV, with numeric optimization (gradient projection method). Based on clinical and physical criteria, CAVCAV determines the geometric characteristics of the radiation fields (beam direction, location and shape of the shielding blocks) for the three stages of radiation therapy of nasopharyngeal carcinomas. Stage 2-treatment fields proposed by CAVCAV, though not perfectly adapted to the patient, are mathematically (beam weights, beam directions, isocenter position) and geometrically (adaptation of fields and shape of blocks by virtual simulation) optimized.
Keywords :
intelligence artificielle , système-expert , Optimisation , ra0diothérapie , cancer du cavum , artificial-intelligence , expert-systems , optimization , radiotherapy , Nasopharyngeal carcinoma
Journal title :
Cancer Radiotherapie
Journal title :
Cancer Radiotherapie