A method for compound automatic radiotherapy planning
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An algorithm and image technology, applied in the field of compound automatic radiotherapy planning, can solve problems such as long calculation time, many manpower and material resources, and inability to be widely used, and achieve the effect of low efficiency
Active Publication Date: 2021-08-27
BEIJING LINKING MEDICAL TECH CO LTD
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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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Embodiment 1
[0119] When an untreated tumor patient (Subject) comes to the radiation therapy department, a set of tumor localization CT images will be called out or taken for the patient first, and the doctor will read the relevant medical history and relevant examination reports. The next steps are as follows:
[0120] Step (1): Read patient data, which includes tumor images and image information of surrounding organs and tissues, including CT (Computed Tomography), cone-beam CT (Cone-Beam CT), ultrasound (Ultrasound, US), PET (PositronEmission Tomography) or Magnetic Resonance (Magnetic Resonance, MR) and other images; and information including the patient's basic data and relevant medical history;
[0121] Step (2): Based on the information in step (1), judge the patient who has not been treated, then start to extract the image structure features for the image data of the new patient, set up the image ID, and search the database based on the image ID information. The most similar set o...
Embodiment 2
[0165] When a treated tumor patient (Subject) goes to the radiotherapy department for subsequent fractionated treatment, after confirming the relevant information of the patient, the follow-up steps are as follows:
[0166] Step (1): Read the image data of the patient, which contains the image information of the patient's tumor and its surrounding organs and tissues before the fractional treatment, including CT (Computed Tomography), Cone-Beam CT (Cone-Beam CT), Ultrasound (Ultrasound , US), PET (Positron Emission Tomography) or Magnetic Resonance (Magnetic Resonance, MR) and other images; and information including the patient's basic information related to medical history;
[0167] Step (2): Based on the information in step (1), it is judged as the patient who has been treated, and the image data file (Template) that is the closest to this treatment is searched;
[0168] Step (3): based on the discriminant result of step (2), extract the nearest image group and outline image ...
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Abstract
The invention discloses a compound automatic radiotherapy planning method, which is stored in a database after obtaining patient-specific image characteristics; when starting to formulate a patient's radiotherapy plan, the image characteristics are used as search criteria to first search in the image characteristic database The most similar image group is extracted as a sample group, and after the appropriate registration algorithm is selected according to the clinical application requirements, the target area delineation information is imported into the patient image, and the target area and organs at risk are automatically delineated. After the doctor completes the confirmation of the drawing results, he enters the relevant treatment dose parameters and starts to automatically calculate the dose distribution simulation calculation of the radiotherapy plan. After the simulation results are confirmed by the doctor or physicist, the radiotherapy plan is completed. The present invention can accurately and improve the delineation of the target area and the information of related organs, and is a method that can be completely applied in the field of tumor radiotherapy; as long as the patient's anatomical structure image is obtained, a new treatment plan for the patient can be quickly generated to provide doctors with professional judgment.
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...
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Application Information
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