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使用循环一致的生成对抗网络合成CT进行剂量测量评估,用于MR引导的自适应性放射治疗

Gabriel L Asher1, Shiru Wang2, Bassem I Zaki3,4

  • 1Department of Computer Science, Dartmouth College, Hanover, NH, United States.

Frontiers in oncology
|October 15, 2025
PubMed
概括

从MRI扫描中生成深度学习的合成CT (sCT) 为放射治疗剂量计算提供了准确的电子密度. 这使得MR指导放射治疗 (MRgRT) 的高效,仅MRI治疗规划成为可能.

关键词:
用MRI指导的放射治疗.循环一致的生成对抗网络.深度学习是一种深度学习.可以变形的注册登记.合成CTCT 合成CT

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...