Dose distribution estimation method and sub-field optimization method

A dose distribution and distribution calculation technology, which is applied in radiation therapy, X-ray/γ-ray/particle irradiation therapy, treatment, etc., can solve the problems of large memory usage, long time consumption, and large calculation amount of computing equipment, so as to maintain calculation accuracy , Efficiency is remarkable, the effect of efficiency improvement

Inactive Publication Date: 2016-06-01
SHANGHAI UNITED IMAGING HEALTHCARE
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The advantage of this method is that the dose does not need to be recalculated when the blade is adjusted, and the estimation of the dose change is relatively accurate, but the disadvantage is that the d

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  • Dose distribution estimation method and sub-field optimization method
  • Dose distribution estimation method and sub-field optimization method
  • Dose distribution estimation method and sub-field optimization method

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[0034] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0035] In the following description, many specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways than those described here, so the present invention is not limited by the specific embodiments disclosed below.

[0036] Taking inverse intensity-modulated radiotherapy as an example, the region of interest including the tumor is first outlined based on the patient's anatomical image (for example, CT image or MR image), and then the radiotherapy plan is planned. Then, according to certain criteria, such as dose volume The mathematical model (usually the dose volume histogram, ie, DVH) evaluates the aforementioned radiation therapy plan, and then treat...

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Abstract

The present invention provides a dose distribution estimation method which comprises a step of determining the initial dose distribution of an interested area by an initial radiation field shape before leaf movement, a step of moving a predetermined blade which forms the initial radiation field shape to a predetermined length to obtain a reference radiation field shape, and carrying out radiation with the beam from a target to obtain the predetermined dose distribution of the interested area, wherein the change of the reference radiation field shape is regular compared with the initial radiation field shape, and a step of matching a changed part of the radiation field shape after leaf movement compared with the initial radiation field shape and at least a part of the reference radiation field shape, and correspondingly selecting at least a part of the predetermined dose distribution to calcualte the dose distribution after leaf movement with the combination with the initial dose distribution according to a matching result.

Description

technical field [0001] The present invention mainly relates to radiotherapy equipment, in particular to a method for estimating dose distribution and a related subfield optimization method. Background technique [0002] Direct sub-field optimization is the main method of radiotherapy plan optimization, including two aspects: multi-leaf grating leaf position adjustment and sub-field weight adjustment. Among them, the adjustment of the leaf position of the multi-leaf collimator is based on the change of the dose distribution caused by the fine-tuning of the leaf of the multi-leaf collimator, and the accuracy of the calculation of the change of the dose distribution largely affects the effect of the leaf position adjustment. At the same time, because the dose distribution change needs to be repeatedly calculated during the blade adjustment process, the algorithm speed of the dose distribution change also determines the performance of the direct subfield optimization algorithm. ...

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Application Information

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IPC IPC(8): A61N5/00A61N5/10
CPCA61N5/00A61N5/1031
Inventor 张鹏周婧劼
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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