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APPARATUS AND METHOD FOR ULTRA-FAST ACQUIRING POSITRON EMISSION TOMOGRAPHIC IMAGE BASED ON DEEP LEARNING

机译:基于深度学习的超快速获取正电子发射断层图像的装置和方法

摘要

Provided are an apparatus and a method for ultrafast positron emission tomography (PET) image acquisition based on deep learning to reduce a PET photographing time. According to the present invention, the apparatus for ultrafast PET image acquisition comprises: an image collector collecting PET images captured through a PET device by a plurality of preset durations; a database storing the PET image for each duration inputted through the image collector; a data learning machine grouping the PET images for each duration into a plurality of time units and using the grouped PET images as a learning image to pre-train a predetermined deep learning model; and an image generator, when receiving the PET image captured for a first duration from the PET device, inputting the received PET image captured for the first duration to the pre-trained deep learning model to generate and output a predicted PET image reconfigured to correspond to a second duration.
机译:提供一种用于基于深度学习以减少PET拍摄时间的超快速正电子发射断层摄影(PET)图像获取的设备和方法。根据本发明,用于超快PET图像获取的设备包括:图像收集器,其以多个预设持续时间收集通过PET设备捕获的PET图像。数据库存储通过图像收集器输入的每个持续时间的PET图像;数据学习机将每个持续时间的PET图像分组为多个时间单元,并使用分组的PET图像作为学习图像来预先训练预定的深度学习模型;图像生成器,当从PET装置接收第一时间段捕获的PET图像时,将接收到的第一时间段捕获的PET图像输入到预先训练的深度学习模型中,以生成并输出重构为对应于第二个持续时间。

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