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METHOD AND SYSTEM FOR GENERATING COMPOSITE PET-CT IMAGE BASED ON NON-ATTENUATION-CORRECTED PET IMAGE
METHOD AND SYSTEM FOR GENERATING COMPOSITE PET-CT IMAGE BASED ON NON-ATTENUATION-CORRECTED PET IMAGE
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机译：基于非衰减校正PET图像产生复合PET-CT图像的方法和系统
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摘要
The present disclosure discloses a method and a system for generating a composite PET-CT image based on a non-attenuation-corrected PET image. The method includes: constructing a first generative adversarial network and a second generative adversarial network; obtaining a mapping relationship between a non-attenuation-corrected PET image and an attenuation-corrected PET image by training the first generative adversarial network; obtaining a mapping relationship between the attenuation-corrected PET image and a CT image by training the second generative adversarial network; and generating the composite PET-CT image by utilizing the obtained mapping relationships. According to the present disclosure, a high-quality PET-CT image can be directly composited from a non-attenuation-corrected PET image, and medical costs can be reduced for patients, and radiation doses applied to the patients in examination processes can be minimized.
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