Method for implementing automatic and composite radiation therapy plan

Abstract

The invention discloses a method for implementing an automatic and composite radiation therapy plan. The method includes the following steps: acquiring specific image features of a patient and saving the image features to a database; at thebeginning of preparing a patient radiation therapy plan, with the image features as searching criteria, searching for a most identical image group from the database of image features and extracting the image group and taking the image group as a sample group, selecting an appropriate a registration algorithm on the demands of clinic application and performing corresponding operation, introducing a target area sketch information to a patent image, and automatically sketching the target area and an endangered organ; after a doctor confirming the result of the sketching, inputting relevant therapy dose parameters, automatically conducting dose distribution simulation operation on the radiation therapy plan, a physician or physicist confirming the result of the simulation, thus completing the radiation therapy plan. According to the invention, the method can improve the sketching of the target area and information of relevant organs in a precise manner, and can be applied to the field of tumor radiation therapy; the method can quickly generate a new treatment plan for the patient and provide evidence for the physician to make profession determination as long as an anatomical structure image of the patient is acquired.

Description

technical field [0001] The invention relates to a method for compound automatic radiotherapy planning, in particular to an automatic online compound optimization application method of radiotherapy plan. Background technique [0002] In the process of radiation therapy (Radiation Therapy), the patient's positioning CT is first scanned, and then the target area is delineated by the doctor and the outline of the organs at risk, and then designed by the physicist or dosimetrist through the commercial Treatment Planning System (TPS) The treatment plan is optimized, and the quality assurance of the treatment plan is carried out by a physicist. Finally, the treatment plan can be used in the subsequent fractionated (Fraction) treatment sessions. [0003] However, such a treatment modality does not take into account the patient's anatomical changes during subsequent treatment sessions, such as changes in tumor volume and location, changes in patient body contours, changes in gastroin...

AI Technical Summary

Problems solved by technology

However, such an approach requires a lot of manpower and material resources, so it is rarely adopted by hospitals

[0005] At present, the traditional automatic treatment method cannot be widely used in the actual clinical treatment, and there are mainly the following problems and shortcomings:

[0006] 1. The traditional automatic treatment method is based on the general commercial planning system. When generating a new treatment plan, it is necessary to calculate and solve large-scale dose calculation and optimization problems. The calculation time is very long and cannot be completed within a clinically acceptable time

[0007] 2. This method requires the dosimetrist to participate in the optimization process of the plan. It takes a long time to set and adjust the parameters manually, and the quality of the treatment plan is also directly limited by the experience and judgment of the dosimeter.

[0008] 3. In the end, the new treatment plan needs to perform quality assurance (Quality Assurance, QA) on the phantom again, and the optimization of automatic radiotherapy plan and the integration of automatic quality assurance cannot be realized

[0009] Looking at the current radiation therapy models at home and abroad, traditional radiation therapy does not take into account the changes in the patient's anatomical structure during the treatment process, so the expected treatment goals cannot be achieved. If offline automatic radiation therapy is performed based on a commercial treatment planning system, the efficiency Low, time-consuming and labor-intensive, so it is difficult to widely use clinically

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