16 results about "Delivered radiation dose" patented technology

A computer-implemented system for improving radiation dose reconstruction in adaptive real-time radiotherapy, comprising a data acquisition module for capturing treatment data in real time during radiotherapy, a preprocessing module for preprocessing the captured data, a deep-learning dose reconstruction engine for reconstructing the delivered radiation dose distribution using a trained deep-learning model, a dose evaluation and comparison module for comparing the reconstructed dose distribution with a planned dose distribution, and an adaptive decision support module to assist in adjusting radiotherapy treatment parameters based on the comparison results.

The invention discloses a heterogeneity correction model applied to radiation dose calculation, and relates to the technical field of radiotherapy. According to the content, the model comprises an input layer, a block embedding layer, an encoder, a bottleneck layer, a decoder and an output head. The bottleneck layer comprises two feature modeling modules. The input layer is used for receiving four-dimensional tensor data. And the block embedding layer is used for performing division processing on the four-dimensional tensor data through the three-dimensional convolution layer to determine a plurality of small blocks to be processed. The encoder comprises a sampling module used for sampling a plurality of small blocks to be processed and determining high-level features. The feature modeling module comprises a continuous window multi-head attention sub-block and a shift window multi-head attention sub-block, and is used for extracting local and global features and determining high-quality features based on input features. The output head is used for determining a heterogeneity correction coefficient based on the target features. Therefore, heterogeneity correction is carried out through the heterogeneity correction model, the calculation accuracy is improved, and the radiation dose calculation precision is improved.

1. The name of the design product: radiotherapy simulation phantom. 2. The use of the design product: radiotherapy dose verification mold, for measuring, verifying, teaching of radio dose. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

Systems and methods for radiation therapy for cancerous tumors using biocompatible quantum dots to provide radiation dose enhancement and resistance to metastasis are described. In an aspect, a method for radiation therapy treatment of cancer cells, includes, but is not limited to, preparing a radiosensitizer fluid, the radiosensitizer fluid including a plurality of biocompatible quantum dots; introducing the radiosensitizer fluid to cancer cells; and irradiating the cancer cells with the radiosensitizer fluid to promote generation of reactive oxygen species and inhibit radiation-induced enhancement of cell-migration.

A radiation treatment system includes a radiation therapy machine configured to output radiation pulses to provide a radiation dose to a patient and a beam generation and monitoring (“BGM”) board including a dose servo algorithm. The BGM board is configured to execute the dose servo algorithm in accordance with a treatment plan to control the radiation dose on a pulse-by-pulse basis according to the treatment plan.

The invention discloses a brain glioma sub-target region personalized radiotherapy planning method and system. The method comprises the following steps: inputting a to-be-detected T1C image and a corresponding AAL image into a segmentation model to obtain a brain region segmentation mask file; inputting a to-be-tested T1C image into the mapping model to obtain a pseudo MRS image; inputting the T1C image to be detected and the registered brain glioma labeling file into the habitat model to obtain a habitat map; based on the brain region segmentation mask file, identifying whether the habitat subregion is located in the functional key brain region or not to determine whether a safe dose threshold value is set as a specific tolerance dose corresponding to the functional key brain region or not; and determining the radiation dose of the brain glioma subregion based on the to-be-detected T1C image, the ASL, the pseudo MRS image and a safe dose threshold. Therefore, the stability, repeatability and efficiency of target area sketching can be effectively improved, and biological conformity of radiotherapy dosage can be realized, so that objective and accurate quantitative reference basis is provided for formulating a radiotherapy scheme.

A reference radiotherapy treatment plan having a plurality of control points, such as a sequence of gantry angles, aperture leaf positions, and intensity weights, can be adapted during the radiotherapy treatment session. Treatment imaging data of a patient may be obtained during the radiotherapy treatment session and one or more parameters may be determined using the treatment imaging data. Then, a current radiotherapy treatment plan may be generated based on the parameter(s). The reference radiotherapy treatment plan for the radiotherapy treatment session may be modified during the radiotherapy treatment session by updating one of the plurality of control points of the reference radiotherapy treatment plan with a control point of a current radiotherapy treatment plan, which may compensate for patient deformations during the delivery of radiotherapy treatment, or intrafraction patient deformations and thereby improve the delivery accuracy and efficacy of radiation doses to a patient undergoing radiotherapy treatment.

The utility model relates to a portable X-ray machine which comprises a foldable base, a telescopic rod, an arm assembly, a main machine base, a ball head connecting piece and a main machine which are connected in sequence. The foldable base is placed on the ground and comprises a base and folding legs evenly distributed on the periphery of the base, and a first screw hole is formed in the center of the base. The folding legs can be folded unidirectionally; the telescopic rod comprises a lower rod and an upper rod; a locking knob is arranged in the middle of the telescopic rod; the arm assembly comprises an upper arm and a front arm which can be connected in a locking mode, and self-locking units are installed in the upper arm and the front arm. The main machine base comprises a fixing base and a screwing cover, the fixing base and the screwing cover are connected through threads, and the fixing base and the screwing cover form a nearly-spherical cavity. Compared with the prior art, the portable radiation device is portable in design, low in radiation dose, wide in application range, capable of being used in complex environments such as slits and the like, capable of improving operation efficiency and reducing labor intensity, easy to carry and convenient to fold.

The disclosure is directed to compounds, compositions, and methods for radiation dose enhancement and the delineation of tumors, and in particular, to improve dose of megavoltage radiation therapy using barium nanoparticles such as BaTiO3 nanoparticles for the delineation of tumors.

[Problem] To provide a radiotherapy planning assistance system that can efficiently achieve a dose distribution for a radiotherapy device that is close to the established ideal dose distribution, and that can stabilize the quality of a treatment plan by ensuring that the achieved dose distribution does not vary greatly even when different types of radiation therapy devices are used. [Solution] A radiotherapy planning assistance system comprising: a dose distribution storage unit 21b that stores an ideal radiation dose distribution established on the basis of information about the location and cross-sectional contour of an affected area to be irradiated with radiation; a region-generating processing unit 20c that divides the cross-section into two or more regions for each prescribed dose range on the basis of dose distribution information; and a dose parameter setting unit 30a that, for each region, associates prescribed parameter values ​​for radiation doses suitable for achieving the dose distribution with the radiotherapy device to be used.

This invention relates to the field of interventional tumor therapy technology and discloses a real-time optimization method for interventional radiotherapy planning. The method includes: dimensionality reduction processing of preoperative three-dimensional angiography images to generate an initial three-dimensional spatial radiation dose distribution matrix; acquisition of in-situ physical and electrophysiological physical quantities corresponding to the injection phase, outputting multimodal synchronous temporal features; analysis of the multimodal synchronous temporal features based on feature decoupling and cross-tissue dielectric cross-validation logic to exclude vasospasm and arteriovenous shunt states, and calculation of dynamic flow resistance increments; reconstruction of blood flow distribution ratios based on dynamic flow resistance increments, accumulating to generate a real-time cumulative radiation dose distribution matrix; monitoring the real-time cumulative radiation dose distribution matrix and catheter reflux pressure gradient, sending a low-level command when a threshold is reached to stop the operation of the radiation-proof high-pressure injection pump. This invention solves the problem of deviation between actual radiation dose distribution and static plan, preventing excessive radiation in non-target areas and microsphere reflux.

The invention discloses a radiation dose adjustment system based on deep learning, and relates to the technical field of neural networks, the system comprises an image analysis module, a clinical parameter analysis module, a dose decision module and a dose implementation monitoring module which work cooperatively in sequence, and each module forms a complete radiation dose adjustment closed loop through data interaction. According to the radiation dose adjusting system based on deep learning, tumor boundaries are accurately recognized through multi-step image processing, individualized dose distribution is achieved in combination with clinical parameter analysis, it is ensured that the dose is concentrated in a lesion area, radiation damage to healthy tissue is reduced, and the occurrence rate of side effects is reduced.

The application provides an image processing method, a readable storage medium and medical equipment, and the image processing method comprises the following steps: acquiring a first image; inputting the first image into a preset generative adversarial network, so that the preset generative adversarial network processes the first image to obtain a second image, and the preset generative adversarial network is an adversarial network which is trained based on image blocks of different sizes in sequence; and outputting the second image; wherein the first image is a computed tomography image which is photographed under a first radiation dose, the second image is a computed tomography image which is photographed under a second radiation dose, and the first radiation dose is less than the second radiation dose.

This invention discloses a method and system for personalized radiotherapy planning of subtarget areas in gliomas. The method includes: inputting the target T1C image and its corresponding AAL image into a segmentation model to obtain a brain region segmentation mask file; inputting the target T1C image into a mapping model to obtain a pseudo-MRS image; inputting the target T1C image and the registered glioma annotation file into a habitat model to obtain a habitat atlas; based on the brain region segmentation mask file, identifying whether the habitat subregion is located in a functionally critical brain region to determine whether its safe dose threshold is set to the specific tolerable dose corresponding to the functionally critical brain region; and determining the radiation dose of the glioma subregion based on the target T1C image, ASL, pseudo-MRS image, and safe dose threshold. This effectively improves the stability, repeatability, and efficiency of target delineation and achieves biological conformity of radiotherapy dose, thus providing an objective and accurate quantitative reference for developing radiotherapy plans.

A method and system for performing online adapted radiotherapy are provided using combined ultrasound and ionizing radiation induced acoustic imaging (iRAI) computed tomography imaging techniques that can be used for measurement of low to ultrahigh dose deliveries (>40 Gy / s). Multiplexed transducers detect US and iRAI signals allowing for anatomical / functional imaging and radiation mapping with absolute dosimetry measurements of a region of interest during a radiotherapy session. Corrections to radiation dosage intensities and locations is determined and provided as feedback to a radiation source to improve the accuracy of applied radiation dosages intra- or inter-radiotherapy treatment sessions preventing the irradiation of healthy tissues and ensuring the accurate delivery of radiation to a tumor or region of interest.

A computer-implemented method of radiotherapy within a region of patient anatomy includes: determining a first radiation dose that is delivered during a first time segment of a treatment fraction to a first location, wherein the first radiation dose is based on a first machine state of a radiotherapy system associated with the first time segment; based on the first radiation dose, determining a dose error for the first time segment; based on the dose error, determining a second radiation dose to be delivered to the first location in a second time segment of the treatment fraction; based on the second radiation dose, changing a second machine state of the radiotherapy system associated with a second time segment to a third machine state of the radiotherapy system; and delivering the second total radiation dose to the first location during the second time segment using the third machine state.