A GPU-accelerated framework for rapid estimation of scanner-specific scatter in CT for virtual imaging trials.

Sharma, Shobhit; Abadi, Ehsan; Kapadia, Anuj; Segars, W Paul; Samei, Ehsan

Sharma, Shobhit; Abadi, Ehsan; Kapadia, Anuj; Segars, W Paul; Samei, Ehsan.

Afiliación

Sharma S; Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, NC, United States of America.
Abadi E; Department of Physics, Duke University, NC, United States of America.
Kapadia A; Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, NC, United States of America.
Segars WP; Department of Radiology, Duke University, NC, United States of America.
Samei E; Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, NC, United States of America.

Phys Med Biol ; 66(7)2021 03 23.

Article en En | MEDLINE | ID: mdl-33652421

Asunto(s)

Tomografía Computarizada de Haz Cónico; Simulación por Computador; Humanos; Método de Montecarlo; Fantasmas de Imagen; Dispersión de Radiación

Palabras clave

Monte Carlo; computed tomography; dual source; photon counting; scatter; virtual imaging trials

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Tomografía Computarizada de Haz Cónico Tipo de estudio: Guideline / Health_economic_evaluation Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

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