3 results about "Low dose ct" patented technology

The invention discloses a low-dose CT denoising method and device based on wavelet transform and a state space model, and relates to the technical field of medical image processing. The method comprises the following steps: acquiring a low-dose CT image and a corresponding full-dose CT image, and generating a data set; dividing the data set into a training set and a test set according to a preset proportion; constructing and training a CT denoising network, taking the training set as an input parameter, taking the predicted image as an output parameter, and taking the minimum error absolute value of the full-dose CT image and the predicted image as a loss function; and inputting the test set into the trained CT denoising network in the step S3 to obtain a prediction image. According to the low-dose CT denoising method, global dependence can be efficiently established, and details can be accurately reserved.

The invention provides a CT image super-resolution reconstruction method for a sepsis inflammation area, and relates to the field of image processing, and the method specifically comprises the steps: collecting a standard dose CT image of the sepsis inflammation area, and processing the standard dose CT image into a corresponding low dose CT image; performing nonlinear mapping on the low-dose CT image to obtain a tension response value, calculating a tension response product of adjacent pixels to generate a resonance response item, constructing a structure regulation factor based on local window normalization gray variance, and outputting a structure resonance feature map in combination with a nonlinear enhancement item; carrying out multi-order derivative weighting, norm integration and direction offset aggregation on the structure resonance characteristic pattern to obtain a disturbance response characteristic pattern; local contrast mapping is constructed through the disturbance response feature map, an edge response enhancement map is obtained through exponential fractional modulation, the edge response enhancement map and the disturbance response feature map are subjected to weighted fusion, and an edge fusion feature map is output through nonlinear activation; and inputting the edge fusion feature map into an image reconstruction module to improve the resolution so as to complete super-resolution reconstruction.

The application discloses an edge enhancement-based low-dose CT image denoising system and method, and belongs to the field of medical image processing. The system comprises a feature extraction module, an encoder, a decoder and an image reconstruction module. In the encoder and the decoder, each encoding layer and each decoding layer comprises a multi-domain feature module. The multi-domain feature module comprises a local feature modeling unit, a state space modeling unit and a multi-domain feature fusion unit. The local feature modeling unit is used for performing convolution operation on the input feature to obtain a local feature. The state space modeling unit is used for performing feature extraction on the input feature through a state space model to obtain a global feature, and after extracting an edge feature, the two are fused into an edge enhancement global feature. The multi-domain feature fusion unit is used for fusing the local feature and the edge enhancement global feature. The application can improve the noise suppression effect of the low-dose CT image, and significantly improve the structure consistency and edge retention capability of the denoised image.