Equivalency of beam scan data collection using a 1D tank and automated couch movements to traditional 3D tank measurements.
J Appl Clin Med Phys
; 19(6): 60-67, 2018 Nov.
Article
en En
| MEDLINE
| ID: mdl-30188009
ABSTRACT
This work shows the feasibility of collecting linear accelerator beam data using just a 1-D water tank and automated couch movements with the goal to maximize the cost effectiveness in resource-limited clinical settings. Two commissioning datasets were acquired (a) using a standard of practice 3D water tank scanning system (3DS) and (b) using a novel technique to translate a commercial TG-51 complaint 1D water tank via automated couch movements (1DS). The Extensible Markup Language (XML) was used to dynamically move the linear accelerator couch position (and thus the 1D tank) during radiation delivery for the acquisition of inline, crossline, and diagonal profiles. Both the 1DS and 3DS datasets were used to generate beam models (BM1 DS and BM3 DS ) in a commercial treatment planning system (TPS). 98.7% of 1DS measured points had a gamma value (2%/2 mm) < 1 when compared with the 3DS. Static jaw defined field and dynamic MLC field dose distribution comparisons for the TPS beam models BM1 DS and BM3 DS had 3D gamma values (2%/2 mm) < 1 for all 24,900,000 data points tested and >99.5% pass rate with gamma value (1%/1 mm) < 1. In conclusion, automated couch motions and a 1D scanning tank were used to collect commissioning beam data with accuracy comparable to traditionally acquired data using a 3D scanning system. TPS beam models generated directly from 1DS measured data were clinically equivalent to a model derived from 3DS data.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Aceleradores de Partículas
/
Planificación de la Radioterapia Asistida por Computador
/
Recolección de Datos
/
Fantasmas de Imagen
/
Errores de Configuración en Radioterapia
/
Movimiento
/
Neoplasias
Límite:
Humans
Idioma:
En
Revista:
J Appl Clin Med Phys
Asunto de la revista:
BIOFISICA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Estados Unidos