Impact of Number of Segmented Tissues on SAR Prediction Accuracy in Deep Pelvic Hyperthermia Treatment Planning.

VilasBoas-Ribeiro, Iva; van Rhoon, Gerard C; Drizdal, Tomas; Franckena, Martine; Paulides, Margarethus M

VilasBoas-Ribeiro, Iva; van Rhoon, Gerard C; Drizdal, Tomas; Franckena, Martine; Paulides, Margarethus M.

Afiliación

VilasBoas-Ribeiro I; Department of Radiation Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.
van Rhoon GC; Department of Radiation Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.
Drizdal T; Department of Radiation Science and Technology, Faculty of Applied Sciences, Delft University of Technology, 2629 JB Delft, The Netherlands.
Franckena M; Department of Biomedical Technology, Czech Technical University in Prague, nam. Sitna 3105, 272 01 Kladno, Czech Republic.
Paulides MM; Department of Radiation Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.

Cancers (Basel) ; 12(9)2020 Sep 16.

Article en En | MEDLINE | ID: mdl-32947939

Palabras clave

3D patient modeling; RF hyperthermia; deep hyperthermia treatment planning; tissue delineation and segmentation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cancers (Basel) Año: 2020 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza

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