Patient-specific synthetic magnetic resonance imaging generation from cone beam computed tomography for image guidance in liver stereotactic body radiation therapy

OBJECTIVE: Despite its prevalence, cone beam computed tomography (CBCT) has poor soft-tissue contrast, making it challenging to localize liver tumors. We propose a patient-specific deep learning model to generate synthetic magnetic resonance imaging (MRI) from CBCT to improve tumor localization. MET...

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Detalles Bibliográficos
Autores principales: Zhang, Zeyu, Jiang, Zhuoran, Zhong, Hualiang, Lu, Ke, Yin, Fang-Fang, Ren, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103741/
https://www.ncbi.nlm.nih.gov/pubmed/37064765
http://dx.doi.org/10.1002/pro6.1163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103741/
https://www.ncbi.nlm.nih.gov/pubmed/37064765
http://dx.doi.org/10.1002/pro6.1163

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