Computing equipment for radiation dose, devices and storage medium

A radiation dose and calculation equipment technology, applied in the field of radiology, can solve the problems of large statistical errors, reduced calculation accuracy, wrong dose distribution, etc., and achieve the effects of increasing calculation speed, high calculation accuracy, and improving accuracy

Active Publication Date: 2019-04-16
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for non-uniform motifs (with relatively fragmented sub-field openings), the 3D smoothing noise reduction method cannot effectively identify whether the burrs are caused by large statistical errors or the actual dose gradient, so the smoothing process will Leads to erroneous dose distribution, reducing calculation accuracy
Since the patient itself is an inhomogeneous phantom in the clinical process, and the requirements for dose gradient changes are becoming more and more refined, the calculation method combining the Monte Carlo algorithm and the smoothing algorithm cannot meet the actual clinical needs.

Method used

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  • Computing equipment for radiation dose, devices and storage medium
  • Computing equipment for radiation dose, devices and storage medium
  • Computing equipment for radiation dose, devices and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0031] figure 1 A schematic structural diagram of a radiation dose calculation device provided in Embodiment 1 of the present invention; figure 2 yes figure 1 A flowchart of the radiation dose calculation process performed by the processor. Such as figure 1 and figure 2 As shown, the calculation equipment of radiation dose in this embodiment includes:

[0032] one or more processors 110;

[0033] memory 120 for storing one or more programs;

[0034] When the one or more programs are executed by the one or more processors 110, the one or more processors 110 can implement the following operations S210-S230 to calculate the radiation dose distribution.

[0035] figure 1 A processor 110 is taken as an example; the processor 110 and the memory 120 in the device can be connected through a bus or other methods, figure 1 Take connection via bus as an example. The memory 120, as a computer-readable storage medium, can be used to store software programs, computer-executable p...

Embodiment 2

[0056] image 3 It is a flow chart of the radiation dose calculation process performed by the processor in the radiation dose calculation device provided by Embodiment 2 of the present invention. This embodiment is optimized on the basis of the above embodiments: "Using the preset neural network model Before, it also included the training process of the preset neural network model". The explanations of terms that are the same as or corresponding to those in the foregoing embodiments are not repeated here.

[0057] see image 3 The radiation dose calculation process performed by the processor in the radiation dose calculation device provided by this embodiment specifically includes the following steps:

[0058] S310. Acquire multiple training samples.

[0059] Wherein, the training samples may refer to data for training a preset neural network model. The training samples may be the dose distribution of the first sample with low precision, the dose distribution of the second...

Embodiment 3

[0083] Figure 4 It is a schematic structural diagram of a radiation dose calculation device provided by Embodiment 3 of the present invention. This embodiment is applicable to the case of calculating the radiation dose distribution of a patient. The device specifically includes: an information acquisition module 410, a first dose distribution determination module 420 and a second dose distribution determination module 430 .

[0084] Among them, the information acquisition module 410 is used to acquire the information corresponding to the target object, wherein the information refers to the information used to calculate the dose distribution; the first dose distribution determination module 420 is used to obtain the information corresponding to the target object according to the Monte Carlo algorithm, Determine the first dose distribution corresponding to the target object; the second dose distribution determination module 430 is used to use the information corresponding to th...

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Abstract

The embodiment of the invention discloses computing equipment for the radiation dose, devices and a storage medium. The equipment comprises one or more processors, and a storage for storing one or more programs; when one or more programs are executed by one or more processors, one or more processors obtain information corresponding to a target object, determine first dose distribution corresponding to the target object according to the Monte Cario algorithm and the information corresponding to the target object, adopt the first dose distribution and the information corresponding to the targetobject as the input of a preset neural network model, and determine second dose distribution corresponding to the target object according to the output result of the preset neural network model, wherein the precision of the second dose distribution is higher than that of the first dose distribution. According to the technical scheme, the high computing speed and the high computing precision can beensured, and the clinic requirement is met.

Description

technical field [0001] Embodiments of the present invention relate to the field of radiation medicine, and in particular, to a radiation dose calculation device, device, and storage medium. Background technique [0002] Radiation therapy is a common cancer treatment. Before radiation therapy, it is often necessary to calculate the dose distribution of the radiation inside the human body to ensure that the radiation dose in the tumor area reaches the therapeutic dose and that the radiation dose in normal tissues is within a safe range. [0003] In the prior art, methods for calculating the radiation dose include a pencil beam (Pencil Beam) algorithm, a convolution (ConeConverlution) algorithm, and a Monte Carlo (Monte Carlo) algorithm. Among them, the pencil beam algorithm and the convolution algorithm are both based on analytical methods or empirical methods to calculate the dose distribution, and the calculation speed is relatively fast. The impact of the process makes th...

Claims

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Application Information

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IPC IPC(8): A61N5/10
CPCA61N5/103A61N2005/1034G06N20/00A61N5/1031A61N2005/0627
Inventor 刘艳芳
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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