19results 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.

The invention discloses a pulmonary nodule real-time positioning method and a pulmonary nodule real-time positioning device based on artificial intelligence multi-modal image fusion technology applied to a sub-pulmonary lobe resection operation, which are applied to the technical field of data processing, a three-dimensional collapsed lung model is generated by acquiring a lung medical image and a three-dimensional model in combination with operation parameters, and features of the three-dimensional collapsed lung model are automatically identified. Endoscope dynamic images are collected in real time in an operation, and the three-dimensional collapse lung model is finely adjusted after image features are extracted, so that the three-dimensional collapse lung model is accurately matched with an actual lung tissue form in the operation. By means of the artificial intelligence multi-mode image fusion technology, the endoscope image and the three-dimensional model are deeply fused, and the lung three-dimensional structure and the accurate pulmonary nodule position under the endoscope view field are presented in real time. By integrating artificial intelligence, computer vision, a collapse algorithm and a multi-modal image fusion technology, a doctor is assisted to clearly identify lung tissue and nodule positions in an operation, the accuracy of the operation is effectively improved, the operation time is shortened, and the operation is safely completed with high quality.

The present invention belongs to the technical field of internal contamination of valve chambers, and specifically relates to an automatic device and method for removing radioactive contamination from valve chambers, including a movable trolley, a filter, a fluid transmission pump, a mechanical arm, and a connecting pipe. The device and method can replace manual work to automatically remove radioactive substances deposited inside the valve chamber, residual radioactive liquid, and metal particles generated by grinding, thereby reducing the risk of radiation exposure and contamination of personnel, improving the decontamination effect, reducing the radiation source items of the unit, reducing the amount of radioactive waste generated, and improving on-site work efficiency.

The invention discloses a device and a method for automatically identifying a near-dry state of a solution in a small chamber. The device comprises a camera, an annular light source, a base, a heating part, a photoelectric sensor and a temperature sensor, the heating part is located on the base, and the camera and the circumferential light source are located at the top of the heating part; the annular light source emits a light beam with a specific wavelength to vertically irradiate a sample solution in the heating part, the photoelectric sensor receives a transmission light signal / reflection light signal penetrating through the solution, and the temperature sensor synchronously collects the temperature of the heating part. The method is suitable for a radioactive metal oxide powder sample pretreatment scene. The method can objectively and accurately judge that the solution is evaporated and concentrated to the nearly dry state in real time, and manual intervention is not needed.

The invention discloses a radiology department digital gastrointestinal machine imaging control method and system, and relates to the technical field of radiology department digital gastrointestinal machine imaging control, and the method comprises the steps: carrying out the data collection based on image collection and processing; carrying out image optimization and personalized dose control; and generating a report according to the acquired image and the control result. According to the method, X-ray dose parameters are predicted and adjusted in real time based on a deep learning algorithm and data collected in real time, the radiation dose is controlled at the lowest level on the premise of ensuring that diagnosis requirements are met, noise and artifacts in images are effectively removed through the technologies of noise filtering, high-pass filtering, non-local mean denoising and the like, and the diagnosis accuracy is improved. According to the method, the definition and readability of the image are improved, the diagnosis report is automatically generated according to the collected image and the control result, the time of a doctor is saved, the diagnosis efficiency is improved, the report generation process is automated, the possibility of human errors is reduced, and the report reliability is improved.

The invention provides a reamer and an assembling method thereof, and relates to the technical field of medical instruments. The reamer comprises a drill tail, a double-face convex bead connecting piece, a double-face concave bead connecting piece and a drill bit. The two ends of the double-face convex bead and the double-face concave bead connecting piece are connected with the drill tail and the drill bit respectively. By means of the flexible shaft structure, sufficient rigidity and torque transmission efficiency are guaranteed, meanwhile, good space adaptability and path adjustability are achieved, continuous and smooth steering can be achieved in a medullary cavity along a complex anatomical path, multi-angle bone channel reaming through a single incision is supported, the number of puncture times and instrument replacement are reduced, and operation is easy and convenient. The risks of tissue damage, bleeding and infection are reduced. Meanwhile, the multi-channel positioning precision and collaboration are improved, the screw layout is optimized, the internal fixation stability is enhanced, the perspective frequency and X-ray exposure in the operation are reduced, and the operation safety and efficiency are improved. The invention is suitable for percutaneous minimally invasive fixation of complex pelvic fracture, and breaks through the application limitation of traditional rigid instruments.

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.

A method, system, and apparatus for optimizing a medical imaging process with process and machine learning techniques to reduce unexpected exposure to harmful radiation are described herein. The machine learning model may be trained to output recommended medical imaging device operating parameter settings. Available operating parameters of the medical imaging device may be determined, and patient data may be received. Patient data and available operational parameters may be used as inputs to a trained machine learning model, which may output recommended operational parameter settings. In turn, this output, as well as other calculations, may be used to transmit data to the medical imaging device that modifies operating parameters of the medical imaging device. Metadata corresponding to one or more images captured by a medical imaging device may be received, and the trained machine learning model may be further trained based on the metadata.

The application provides a multi-stage adjustable pulmonary vascular intervention balloon catheter and belongs to the field of medical devices. The catheter is fixedly connected with a tube main body at one end, and the tube main body is fixedly connected with a pressure charging cavity, a guide wire cavity and a pressure relief cavity at the end away from the catheter, respectively. The pressure charging cavity, the guide wire cavity and the pressure relief cavity are in communication with the tube main body. The catheter is fixedly connected with a soft head at one end, and the pressure charging device is arranged at the end of the catheter close to the soft head. The application can trigger the opening of the corresponding valves of the inner, middle and outer three layers of balloons in sequence by means of precise control of the pressure charging pressure, realize the grading expansion effect of the precise shaping of the outer layer of balloons at 6 atm under the pre-expansion of the inner layer of balloons at 2 atm and the superimposed expansion of the middle layer of balloons at 4 atm, avoid the risk of overpressure by matching the spring safety valve opened at 8 atm in the pressure relief channel, enable the balloon to retract quickly and the valve to close automatically by negative pressure suction, reduce the risk of guide wire displacement, shorten the operation time and reduce the radiation exposure of patients.

The present disclosure provides a pencil beam dose calculation method, comprising: acquiring human body image data; determining a plurality of particle types for treatment; calculating an initial pencil beam dose distribution corresponding to each particle type; determining a target action layer of each dose distribution in the human body image data based on the particle type, wherein the target action layer positions corresponding to different particle types are different; adjusting each initial dose distribution based on the target action layer corresponding to each particle type to obtain a particle pencil beam dose distribution corresponding to each particle type; superimposing the particle pencil beam dose distributions corresponding to each particle type to obtain a target pencil beam dose distribution; wherein the dose proportion of the particle pencil beam dose distribution corresponding to the same particle type in the target action layer is greater than the dose proportion of the particle pencil beam dose of the particle type in other parts of the human body image data.

The invention discloses X-ray image scanning equipment, and relates to the technical field of medical equipment. The device comprises an adjusting cross frame, an X-ray detector is fixed to one end of the adjusting cross frame, an X-ray emitter is installed at the other end of the adjusting cross frame through a telescopic assembly, and the distance between the emitter and the detector can be adjusted. Two lead plates with adjustable spacing and position are arranged between the emitter and the detector, and movement of the top lead plate supporting frame and the bottom lead plate supporting frame is respectively controlled through the central lead screw and the sleeve shaft lead screw, so that independent and accurate adjustment of the lead plates is realized. The equipment adopts an electromagnetically coupled rotating disc and a central rotating shifting gear, so that the flexible control of the position of the lead plate is realized.

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.

The invention relates to the technical field of medical instruments, in particular to a salpingography teleoperation system. The salpingography teleoperation system comprises an injection part, a first driving part, a guide part, a second driving part, a private peeping part, a third driving part, a flexible endoscope part and a control part. The injection part comprises an injector and an injection tube, the first end of the injection tube is connected with the injector, and the second end of the injection tube enters and goes deep into a natural orifice. The first driving part is used for driving the injection of the injector; the guide part is used for pushing the injection tube to deeply move in a natural cavity; the second driving part is used for driving the guide part to generate thrust to the injection tube; the private peeping part is used for expanding a natural orifice to assist the injection tube in entering the natural orifice; the third driving part is used for driving radial expansion and contraction of the pudendum peeping part; the flexible endoscope part is used for driving the second end of the injection tube to adjust the degree of freedom and observing the radiography condition; the control part is used for remotely controlling the first driving part, the second driving part, the third driving part and the flexible endoscope part. And the operation complexity of radiography is reduced.

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.

Disclosed are an image processing method and device. Here, the X-ray image processing device according to an embodiment of the present disclosure includes an image analyzer that analyzes the received original X-ray image; A conversion unit that converts the original X-ray image into multi-scale based on the analysis results and separates it into frequency units; A noise prediction unit that generates a noise prediction map by enhancing and combining specific frequency portions; an edge map processor that generates an edge map based on the generated noise prediction map; A contrast processing unit that enhances the contrast of the X-ray image based on the generated edge map; an inverse transformation unit that performs a flattening process and an edge correction process on the contrast-enhanced X-ray image and performs inverse transformation; and a control unit that tone maps the inversely converted X-ray image and controls output.

The invention discloses a buried gas pipeline joint nondestructive testing technology, and belongs to the technical field of pipeline nondestructive testing, the buried gas pipeline joint nondestructive testing technology comprises four core steps of preparation before detection, ultrasonic phased array detection, X-ray detection, combination determination and result output, and by customizing a test block calibration device, detection parameters are optimized according to pipeline specifications, and the pipeline joint nondestructive testing efficiency is improved. An ultrasonic phased array method and an X-ray method are combined for detection, and a standardized judgment rule is established; and meanwhile, the matched special auxiliary device comprises an ultrasonic phased array detection auxiliary device and an X-ray machine positioning device which are respectively used for fixing the probe and the X-ray machine, so that accurate detection positioning and tight probe fitting are ensured. According to the method, the defect recognition rate is larger than or equal to 98%, the defect position error is smaller than or equal to + / -2 mm, the method is matched with De63-De355 full-specification PE pipeline joints, operation is convenient and fast, efficiency is high, various common defects of the joints can be comprehensively recognized, quantitative analysis and qualification judgment are achieved, and reliable technical guarantee is provided for buried gas pipeline joint quality control and safe operation.

The invention discloses a biomarker for predicting the onset risk of aortic dissection, a kit and application. The invention provides application of a reagent for detecting the SERPINE1 level of peripheral blood in preparation of products for aortic dissection attack risk prediction, early screening, diagnosis or curative effect monitoring. The marker and the related detection kit can be used for predicting the occurrence risk of the aortic dissection, and are not limited to diagnosis of the occurred dissection; the method is suitable for screening and dynamic follow-up visit of high-risk groups; the operation is simple and convenient, and a detection sample can be obtained through peripheral blood; the aortic wall pathological remodeling and fibrinolytic / matrix stability change can be reflected. Clinical sample verification shows that the method for predicting the onset risk of the aortic dissection through the SERPINE1 level of the peripheral blood has relatively high sensitivity and specificity, and relatively high clinical application value and application prospect are shown.

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.