MRI-based pseudo CT synthesis using anatomical signature and alternating random forest with iterative refinement model

We develop a learning-based method to generate patient-specific pseudo computed tomography (CT) from routinely acquired magnetic resonance imaging (MRI) for potential MRI-based radiotherapy treatment planning. The proposed pseudo CT (PCT) synthesis method consists of a training stage and a synthesiz...

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Dades bibliogràfiques
Publicat a:J Med Imaging (Bellingham)
Autors principals: Lei, Yang, Jeong, Jiwoong Jason, Wang, Tonghe, Shu, Hui-Kuo, Patel, Pretesh, Tian, Sibo, Liu, Tian, Shim, Hyunsuk, Mao, Hui, Jani, Ashesh B., Curran, Walter J., Yang, Xiaofeng
Format: Artigo
Idioma:Inglês
Publicat: Society of Photo-Optical Instrumentation Engineers 2018
Matèries:
Physics of Medical Imaging
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC6280993/
https://ncbi.nlm.nih.gov/pubmed/30840748
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.JMI.5.4.043504
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