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Performance of deep learning synthetic CTs for MR‐only brain radiation therapy
Journal of Applied Clinical Medical Physics ( IF 2.1 ) Pub Date : 2021-01-07 , DOI: 10.1002/acm2.13139
Xiaoning Liu 1 , Hajar Emami 2 , Siamak P Nejad-Davarani 3 , Eric Morris 4 , Lonni Schultz 5 , Ming Dong 2 , Carri K Glide-Hurst 6
Affiliation  

To evaluate the dosimetric and image‐guided radiation therapy (IGRT) performance of a novel generative adversarial network (GAN) generated synthetic CT (synCT) in the brain and compare its performance for clinical use including conventional brain radiotherapy, cranial stereotactic radiosurgery (SRS), planar, and volumetric IGRT.

中文翻译:

深度学习合成CT在仅MR脑部放射治疗中的表现

为了评估新型对抗性网络(GAN)在大脑中生成的合成CT(synCT)的剂量和图像引导放射治疗(IGRT)的性能,并比较其在临床上的性能,包括常规的脑部放射治疗,颅骨立体定向放射外科(SRS) ,平面和体积IGRT。
更新日期:2021-02-03
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