5results about How to "Reduce radiation exposure" patented technology

This invention belongs to the field of medical signal processing technology, specifically a method and prediction system for constructing a three-dimensional tumor motion trajectory prediction model. It involves collecting temporal data of point clouds from the human chest and abdomen, as well as temporal location information of the tumor, and establishing a unified spatial coordinate system. The temporal data of the point clouds are divided into n time periods of total duration T1, and the temporal location information of the tumor is divided into n time periods of total duration T2, resulting in n training samples. The point clouds of the training samples are further divided into several pseudo-voxel sub-blocks according to the human projection plane, and K pseudo-voxel sub-blocks are selected based on motion saliency to obtain the temporal feature vector of the tumor motion. The temporal feature vector of the tumor three-dimensional motion trajectory prediction is used as input, and the corresponding tumor temporal location information is used as output to train an attention-enhanced dilated convolutional prediction network. This invention enables high-precision, non-invasive prediction of the three-dimensional tumor motion trajectory.

This specification relates to a method, apparatus, and device for reconstructing PET images. The method includes: acquiring a positron emission tomography (PET) image to be reconstructed; inputting the PET image into a pre-trained degradation pattern recognition model to obtain degradation pattern information of the PET image; inputting the PET image and the degradation pattern information into a pre-trained reconstruction model to obtain a reconstructed PET image; wherein the reconstruction model uses the degradation pattern information as prior information to predict and remove degradation components of the PET image. By identifying and utilizing degradation pattern information, the reconstruction model can achieve reconstruction quality no less than that of multimodal fusion methods using only single-modal PET data. This fundamentally avoids registration errors and significantly reduces patient radiation exposure and examination costs.

This utility model relates to a vertebral anchoring and positioning reaming device, comprising: a working sleeve, which includes a sleeve body and a first cylindrical channel disposed within the sleeve body and extending axially; the lower end of the sleeve body has an arc-shaped serrated structure surrounding the end face of the first cylindrical channel; and an eccentric reamer for insertion within the first cylindrical channel, comprising a cylindrical drill rod, a second cylindrical channel disposed within the drill rod, and a drill bit disposed at the lower end of the drill rod and connected to the second cylindrical channel; the second cylindrical channel and the central axis of the drill rod are not on the same straight line. Compared with the prior art, this utility model has advantages such as reliable anchoring and precise bone removal.

This invention discloses a virtual skeleton perspective method, device, and storage medium, belonging to the field of medical image-assisted and computer vision-based 3D human body reconstruction technology. Addressing the shortcomings of existing medical imaging methods, such as the lack of visualization of the internal skeleton during positioning, poor real-time performance of iterative SKEL parameter solving, insufficient ability to measure real-world scales, and low reconstruction accuracy in occluded scenes, this invention replaces iterative optimization with a learned SKEL parameter estimation model, rapidly obtaining SKEL parameters through a single forward computation. The preferred scheme uses depth as a geometric prior to modulate attention, and adds bone length prediction to achieve metric scale recovery without internal parameters. Simultaneously, it realizes 3D skeleton virtual perspective overlay, positioning guidance, and real-world spatial distance measurement. This invention significantly improves the accuracy and efficiency of image positioning, reduces the radiation burden on patients, and balances reconstruction robustness and real-time performance.

The present application relates to the field of digital reconstruction and virtual angiography technology, and particularly relates to a virtual esophageal barium contrast generation method based on CT image segmentation and digital reconstruction X-ray image rendering, comprising the following steps: S1, collecting chest or upper abdominal CT images of a patient and preprocessing; S2, automatically segmenting an esophageal region from the original CT image; S3, dividing the entire esophageal region into three parts, namely, a lumen, a wall and a mucosa; S4, obtaining a segmentation result of a tumor; S5, mask calculation; S6, filling CT values for different parts of the esophagus to simulate the state of esophageal filling phase and mucosal phase under different barium doses; S7, fusing the original CT image with the filling phase image and the mucosal phase image respectively to obtain a fused three-dimensional CT image, modeling the propagation process of X-rays in the fused three-dimensional CT volume data by using a DRR technology, and generating a virtual esophageal barium meal image. The present application does not require the patient to swallow a barium meal, has no X-ray exposure risk, has low dependence on the experience of operators, and has stable and reliable image quality.