14 results about "Dose reduction" patented technology

This disclosure relates generally to a patterning structure including an underlayer and an imaging layer, as well as methods and apparatuses thereof. In particular embodiments, the underlayer provides an increase in radiation absorptivity and / or patterning performance of the imaging layer.

The application discloses a fault scanning control method and device, a fault scanning equipment and a storage medium. The method comprises the following steps: identifying a key anatomical structure of an initial projection image based on a pre-trained trajectory planning model, generating a probability distribution map, determining a sparse scanning angle sequence and corresponding first scanning parameters, densely sampling and appropriately increasing a radiation dose in a high-weight area, and sparsely sampling and reducing a dose in a low-weight area; controlling the fault scanning equipment to perform scanning, obtaining first projection data and reconstructing the first projection data into a sparse reconstruction image; performing multi-modal fusion and scoring on the sparse reconstruction image and the current scanning parameters through an image quality evaluation model, adaptively optimizing scanning instructions according to the probability distribution map, a fusion feature vector, an image quality score, an equipment state and historical action data, generating second scanning parameters, making the scanning trajectory more continuous and smooth through an artificial intelligence technology, and realizing regional adaptive regulation and control of angles, doses and paths, so that the imaging resolution can be improved.

Methods, systems, and computer readable media are provided for reduced dose angiography using machine learning (e.g., deep learning) using consistency metrics, the consistency metric indicates a degree of similarity between an estimated segmentation of the angiographic image generated by the machine learning model and a reference angiographic image provided as input to the segmentation of the machine learning model. Briefly, the techniques described herein may use a neural network trained to preserve / maintain the quality of angiographic images by employing consistency metrics while reducing the dose of angiography of potentially harmful chemical contrast agents and / or X-ray radiation.

This invention discloses a method and system for effectively reducing X-ray radiation dose during electrocardiogram (ECG) scanning, relating to the field of artificial intelligence technology. The method includes: acquiring real-time ECG signals of the subject, identifying the R-wave and its occurrence time, and calculating the RR interval between adjacent R-waves; dividing the subject's cardiac cycle based on the RR interval and the R-wave occurrence time, and determining the intense cardiac motion phase and diastolic phase of each cardiac cycle; during the intense cardiac motion phase, controlling the X-ray tube mA value to decrease to a dose reduction mA value below the source mA value; when the current time enters the diastolic phase, controlling the X-ray tube mA value to recover from the dose reduction mA value back to the source mA value; after determining that the X-ray tube mA value has recovered and stabilized at the source mA value, a trigger signal is activated, and the acquisition of projection data is initiated based on the trigger signal. This method helps solve the problem that existing technologies cannot effectively reduce X-ray radiation dose during ECG scanning.

Methods, systems, and computer readable media are provided for reduced-dose angiography using machine learning (e.g., deep learning) with a concordance metric indicating a degree of similarity between an estimated segmentation of angiographic images generated by a machine learning model and segmented benchmark angiographic images provided as inputs to the machine learning model. Briefly, techniques described herein may use a neural network trained to conserve / preserve angiographic image quality while reducing the angiographic dose of potentially harmful chemical contrast and / or x-ray radiation by employing a concordance metric.

The invention discloses a radiation dose index evaluation method and a measurement phantom system applied to micro-CT, and relates to the technical field of micro-CT system optimization research, the radiation dose index evaluation method comprises the following steps: setting a system structure corresponding to dose measurement, setting an imaging protocol to scan positioning imaging, and reading a reading; introducing a conversion coefficient and combining with the reading of a dose detector to obtain a radiation dose value index; factors influencing the system output dose are analyzed, and effective tube current is defined to be used for normalizing the radiation dose; performing a simulation experiment consistent with a real condition, obtaining a conversion coefficient, and providing a dose evaluation system combining experimental measurement and simulation; standardized application of microscopic CT in biomedical research is promoted, and scientificity of small animal experiments is improved; the cost of dose measurement equipment is reduced, and the quality control capability of a microscopic CT imaging system is improved; a unified microscopic CT radiation dose measurement standard is established, and the data comparability among different laboratories is improved.

This disclosure relates generally to a patterning structure including an underlayer and an imaging layer, as well as methods and apparatuses thereof. In particular embodiments, the underlayer provides an increase in radiation absorptivity and / or patterning performance of the imaging layer.

A system (1) for providing X-ray collimator settings includes a controller (14) having a processor in communication with a memory. The processor is configured to receive an X-ray image of an object from an X-ray imaging device (12) having an X-ray collimator (10) configured to collimate an X-ray beam of the X-ray imaging device for imaging the object. The processor is further configured to: identify, in the X-ray image, at least one image feature indicative of at least one X-ray exposure characteristic of the object; generating an X-ray beam attenuation map (32) defining one or more target X-ray beam attenuation values corresponding to one or more regions of the object based on the at least one image feature; and determining at least one X-ray collimator setting of the X-ray collimator based on the X-ray beam attenuation map.

The invention discloses a tomography control method and device, tomography equipment and a storage medium, and the method comprises the steps: carrying out the key anatomical structure recognition of an initial projection image based on a pre-trained trajectory planning model, generating a probability distribution diagram, determining a sparse scanning angle sequence and a corresponding first scanning parameter, dense sampling is adopted in the high-weight area and the radiation dose is properly increased, and sparse sampling is adopted in the low-weight area and the radiation dose is reduced; controlling the tomography equipment to execute scanning, obtaining first projection data and reconstructing the first projection data into a sparse reconstructed image; and performing multi-modal fusion and scoring on the sparse reconstructed image and the current scanning parameter through an image quality evaluation model, adaptively optimizing a scanning instruction according to a probability distribution diagram, a fusion feature vector, an image quality score, an equipment state and historical action data, generating a second scanning parameter, enabling a scanning track to be more continuous and smoother through an artificial intelligence technology, and improving the scanning efficiency. Regional adaptive regulation and control of angles, doses and paths are realized, and the imaging resolution can be improved.

The invention provides a multi-center radiotherapy plan generation method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: receiving coordinates, radiation field parameters, positioning modes and unified dose constraints of a plurality of treatment centers, and receiving a medical image, a target region and an organ-at-risk contour of a patient; establishing a multi-center collaborative optimization model; according to the unified dose constraint optimization multi-center collaborative optimization model, generating a radiotherapy total plan including three-dimensional dose distribution; splitting the total plan into a plurality of sub-plans; and performing dose verification on the sub-plans, and outputting the sub-plans passing the dose verification as executable sub-plans to the treatment equipment. According to the method, the multi-center collaborative optimization model is optimized according to the unified dose constraint to generate the radiotherapy total plan containing the three-dimensional dose distribution, and the dose constraint does not need to be repeatedly set and the placement verification does not need to be implemented for multiple times in the plan generation process, so that the radiotherapy time is shortened, and the dose deviation risk is reduced. Besides, the plurality of treatment centers are uniformly optimized, so that the dose interference risk of each treatment center can be reduced, and the situation that cold and hot spots are formed due to non-uniform dose superposition and the safety of organs is affected is avoided.

The invention provides a dose calculation method and device, a medium and a product, and relates to the technical field of dose calculation. The method comprises the following steps: determining a dose calculation point and a barrel string corresponding to the dose calculation point; the total dose contribution of the cylinder string to the dose calculation points is calculated according to a convolution kernel corresponding to the cylinder string and the line segment of the cylinder string, the parameter of the convolution kernel is obtained by fitting dose data calculated based on a Monte Carlo method, and dose data of each dose calculation point is calculated based on the total dose contribution; according to the embodiment of the invention, the convolution kernel and the segment of the cylinder string are directly utilized to calculate the dose contribution of each cylinder string to the dose calculation point, and the introduction of errors can be effectively reduced, so that the calculation amount is effectively reduced, the calculation precision is improved, the time and calculation resources required for dose calculation are reduced, and the clinical application requirements are effectively met.

The application provides a dose calculation method, device, medium and product, and relates to the technical field of dose calculation. The method comprises the following steps: determining a dose calculation point and a cylinder string corresponding to the dose calculation point; calculating total dose contribution of the cylinder string to the dose calculation point according to a convolution kernel corresponding to the cylinder string and a line segment of the cylinder string, wherein parameters of the convolution kernel are obtained by fitting dose data calculated based on a Monte Carlo method; and calculating dose data of each dose calculation point based on the total dose contribution. In the application, the dose contribution of each cylinder string to the dose calculation point is directly calculated by using the convolution kernel and the line segment of the cylinder string, so that the introduction of errors can be effectively reduced, the calculation amount can be effectively reduced, the calculation precision can be improved, the time and the calculation resources required for dose calculation can be reduced, and the demand of clinical application can be effectively met.

SOLUTION: This disclosure relates generally to a patterning structure including an underlayer and an imaging layer, as well as methods and apparatuses thereof. In particular embodiments, the underlayer enhances radiation absorptivity and / or patterning performance of the imaging layer.SELECTED DRAWING: Figure 2D