Abstract: The present application discloses a label-free adaptive CT super-resolution reconstruction method, device and system based on a generative network, which comprises the following modules: an acquisition module configured for acquiring low-resolution original CT image data; a preprocessing module configured for performing super-resolution reconstruction on original CT images based on total variation to obtain an initial value; and a super-resolution reconstruction module configured for performing high-resolution reconstruction on the initial value. According to the present application, a parameter fine-tuning method is adopted, and a CT reconstruction network which is not suitable for a certain patient is adjusted into a network which is suitable for the patient's situation on the premise of not using a large number of data sets for training; only the low-resolution CT data of the patient is used in this process, and the corresponding high-resolution CT data is not needed as a label.

Abstract: Disclosed is an image denoising method and apparatus based on wavelet high-frequency channel synthesis. Image data are expanded to a plurality of frequency-domain channels, a plurality of “less-noise” channels and a plurality of “more-noise” channels are grouped through a noise-sort algorithm, and a denoising submodule and a synthesis submodule based on style transfer are combined to form a generative network. A discriminative network is established to add a constraint to the global loss function. After iteratively training the GAN model described above, the denoised image data can be obtained through wavelet inverse transformation. The disclosed algorithm can effectively solve the problem of “blurring” and “loss of details” introduced by traditional filtering or CNN-based deep learning methods, which is especially suitable for noise-overwhelmed image data or high dimensional image data.

Abstract: A suspension cable replacement device includes a power unit and a plurality of adjustment units. The plurality of adjustment units is disposed around a suspension cable to be replaced. The power unit is configured to power the plurality of adjustment units. Each adjustment unit includes a support frame, a connector, and a steel strand. The power unit includes two jacks each including a main body. The support frame includes two support columns, a top part, and a bottom part. The top part includes a first through hole, and a nut fixed on an anchor is disposed in the first through hole; a hanger rod is disposed through the anchor and the nut, and fixed in the nut. The bottom part includes a second through hole, and the steel strand is disposed through the second through hole. The connector is disposed in the central cavity of the support frame.