Human-machine combined radiotherapy plan verification method and device based on uncertainty screening
A man-machine combination, deterministic technology, applied in the field of radiotherapy, can solve the problems of time-consuming and labor-intensive manual measurement methods, misleading clinical decision-making, etc., and achieve the effect of meeting the clinical labor cost and accuracy requirements
Pending Publication Date: 2022-02-11
CENT SOUTH UNIV
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[0005] The present invention provides a man-machine combined radiotherapy plan verification method and device based on uncertainty screening to solve the problems that the manual measurement method is time-consuming and labor-intensive, and the AI prediction method with large uncertainty will mislead clinical decision-making
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[0024] In order to make the objects, technical solutions and advantages of the present disclosure, the present disclosure will be described in detail below with reference to the accompanying drawings.
[0025] It should be noted that the technical terms or scientific terms used in one or more embodiments of the present invention should be understood from the articles of the present disclosure, unless otherwise defined. "First", "second" and similar words used in one or more embodiments of the present invention do not represent any order, quantity, or importance, but is only used to distinguish between different components. Similar words to "include" or "include", or the like, the element or article that appears in front of the word or the article enumerates the elements or objects that appear later in the word, without excluding other elements or objects. Similar words such as "Connect" or "Connect" are not limited to physical or mechanical connections, but may include electrical ...
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One or more embodiments of the invention provide a man-machine combined radiotherapy plan verification method and device based on uncertainty screening. The method comprises the steps of performing model training according to a preset data set to obtain a final integrated deep learning model and an uncertainty threshold; inputting the radiation field flux of a to-be-verified plan into the final integrated deep learning model, and outputting a predicted first gamma passing rate and uncertainty after the radiation field flux is processed by the final integrated deep learning model; and comparing the uncertainty with the uncertainty threshold, and using the first gamma passing rate or a second gamma passing rate obtained by a manual measurement method as the gamma passing rate of the to-be-verified plan according to a comparison result. According to the invention, advantages of a manual measurement method and an artificial intelligence prediction method can be combined, and different clinical human cost and accuracy requirements can be met.
Description
Technical field [0001] The present invention belongs to the field of radiotherapy, and is specifically involved in a human-machine combined radiotherapy plan verification method and apparatus for uncertainty-screening. Background technique [0002] Intensity Modulated Radiation Therapy, IMRT is one of the mainstream radiotherapy technology today. In order to ensure the accuracy and efficacy of radiotherapy, it is necessary to use a ray detector array to experimentally measure the patient's radiotherapy plan before the treatment of patients, and analyzed the gamaPassing Rate (GPR). GPR is calculated from the radiotherapy plan to calculate the dose and the measured dose of the measured dose. The value is between 0% -100%, the closer to 100% indicates that the higher the prime rate, the better the accuracy. The TG No. 218, published by American Medical Physicians Association (AAPM), is recommended to use 95% GPR (calculation parameters 3%, 2mm) as an early warning standard for plann...
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IPC IPC(8): G16H20/40G06N3/04G06N3/08
CPCG16H20/40G06N3/08G06N3/048G06N3/045
Inventor 杨晓喻赵于前杨振曹瑛李书舟邵其刚
Owner CENT SOUTH UNIV