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Geometrical model establishing methodand dose calculation method based on medical image data

A geometric model and medical imaging technology, which is applied in the field of geometric model establishment based on medical image data and dose calculation based on medical image data, can solve the problem of metabolism without considering the distribution of boron drug and the time of boron drug, which affects the reliability of dose calculation results To achieve the effect of improving the reliability of dose calculation, improving the accuracy and precision, and improving the quality of treatment

Pending Publication Date: 2019-02-05
NEUBORON MEDTECH
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Problems solved by technology

Usually, the boron concentration information is based on the boron concentration data of the sample obtained from the blood sample test or slice test, so as to calculate the corresponding tissue and tumor boron concentration, so that the regional boron concentration value is given in the corresponding model area, so the given boron concentration The information does not take into account the real distribution of boron drug in the organism and the metabolism of boron drug over time, which will affect the reliability of the dose calculation results

Method used

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  • Geometrical model establishing methodand dose calculation method based on medical image data
  • Geometrical model establishing methodand dose calculation method based on medical image data
  • Geometrical model establishing methodand dose calculation method based on medical image data

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no. 1 example

[0071] The first embodiment includes: the step of defining the tissue type through the conversion relationship between the medical image data and the tissue type; the step of determining the number of tissue groups; and the step of defining the tissue density through the conversion relationship between the medical image data and the density.

[0072] According to the conversion relationship between medical image data and tissue types, the number of tissue groups can be determined according to actual needs, so as to provide more accurate tissue types, element compositions and densities, and the established geometric model is more in line with the reality reflected by medical image data. Condition.

[0073] The number of organization groups is the number of organization groups manually defined by the user plus the number of 4 types of organization groups or the number of 14 types of organization groups already in the database. If there is no corresponding organization grouping n...

no. 2 example

[0074] The second embodiment includes: the step of defining or reading the ROI boundary; the step of judging whether the medical image voxel is within the ROI boundary: if yes, then enter the process of specifying a specific tissue and density for each voxel within the ROI boundary The user manually defines the tissue type and density step or enters the step of automatically defining the ROI tissue type and density through the conversion relationship between medical image data and tissue type / density, if not, then enters through the medical image data and tissue type The conversion relationship between automatically defines the step of tissue type and the step of defining tissue density through the conversion relationship between medical image data and density.

[0075] Users can manually define the tissue type, element composition and density of ROI. If it is not within the ROI boundary, define the tissue type according to the conversion relationship between medical image dat...

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Abstract

The invention provides a method for establishing a geometric model based on medical image data, comprising the steps of: inputting or reading medical image data; defining organization type and densityinformation; The step of giving 10B concentration information based on the measured overall 10B concentration spatial or temporal distribution; Establishing a 3D encoding matrix with tissue type, density and 10B concentration information; Steps to generate a geometric model. Another aspect of the present invention provides a dose calculation method based on medical image data, comprising the steps of calculating a 10B dose (DB), a neutron dose (DN), and a photon dose (D gamma) of the obtained geometric model according to a Monte Carlo method; The step of calculating a dose to tumor and tissuebased on the measured spatial or temporal distribution of the overall 10B concentration (Bcon). The geometric model building method based on medical image data of the invention can improve the accuracy and precision of the lattice information in the model. The dose calculation method based on the geometrical model can improve the reliability of dose calculation to improve the quality of treatment.

Description

technical field [0001] The present invention relates to a method for establishing a geometric model, in particular to a method for establishing a geometric model based on medical image data; another aspect of the present invention relates to a method for calculating dose, in particular to a method for calculating dose based on medical image data. Background technique [0002] With the development of atomic science, radiation therapy such as cobalt 60, linear accelerator, and electron beam has become one of the main means of cancer treatment. However, traditional photon or electron therapy is limited by the physical conditions of the radiation itself. While killing tumor cells, it will also cause damage to a large number of normal tissues along the beam path; in addition, due to the different sensitivity of tumor cells to radiation, traditional radiation therapy Treatment for more radioresistant malignant tumors (eg glioblastoma multiforme, melanoma) is often less effective. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/00A61N5/10
CPCA61N5/103A61N5/1031G06T17/00A61N2005/109
Inventor 萧明城
Owner NEUBORON MEDTECH
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