Intelligent optimization method of tumour radiotherapy plan
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A technology for treatment planning and tumor radiation, applied in the fields of biomedical engineering and radiobiology, it can solve the problems of low efficiency of clinical radiotherapy planning and difficulty in obtaining intensity-modulated radiotherapy plans.
Inactive Publication Date: 2018-01-05
强深智能医疗科技(昆山)有限公司
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[0004] This not only leads to low efficiency in formulating clinical radiotherapy plans, but also makes it difficult to obtain a truly optimal IMRT plan in the clinical sense
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Embodiment 1
[0054] This embodiment shows a big data analysis (prior knowledge) based on tumor clinical radiotherapy planning and tumor CT, MRI, PET / CT, and (or) PET / MRI medical image intelligent analysis and processing, according to tumor biology, radiation biology Based on the characteristics information of science and radiophysics, through multi-objective, intelligent and automatic optimization calculation method, the adaptive, bio-intensity modulated, multi-objective optimized tumor clinical precise radiotherapy plan is determined.
[0055] Specifically include the following steps:
[0056] 1-1) Intelligent delineation of tumor biological target area, biological sub-target area and fusion target area: according to multi-modal fusion image information such as tumor PET, CT, MRI, etc., outline the tumor biological target area through intelligent and automatic image analysis and processing methods , biological sub-target area and fusion target area;
[0057] 1-2) Calculation of optimal p...
Embodiment approach
[0059] In step 1-1), an implementation scheme for the intelligent delineation of tumor biological target areas and sub-target areas with different biological characteristics is as follows:
[0060] During the implementation of the examples of the present invention, according to the tumor PET and CT images and their various molecular biology and physical texture characteristics, the biological target area and sub-target area are used to intelligently outline the multi-layer Mumford-Shah vector image segmentation model, through the tumor PET SUV and its contrast The vector image composed of , frequency, level set method is used to iteratively segment the image layer by layer, and the tumor biological target area and its sub-target areas with different biological characteristics are automatically delineated. Specific steps are as follows:
[0061] 2-1) According to the tumor PET SUV image, the adaptive three-dimensional region growing method is used to determine the high tracer u...
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Abstract
The invention discloses an intelligent optimization method of a tumour radiotherapy plan. The method includes: 1) intelligent delineation of a biological target region, biological sub-target regions and a multi-modal(mode) image fusion target region of a tumor PET image, wherein an intelligentized image analysis processing method is adopted to delineate the biological target region, the biologicalsub-target regions and the multi-modal image fusion target region of a tumor according to multi-modal image information such as tumor PET / CT / MRI / CBCT / ultrasound; 2) optimization calculation of optimal prescription doses of biological intensity modulated tumor radiotherapy, wherein the optimal prescription dose of each biological sub-target region is determined through the intelligentized and automated optimization method according to biological characteristics of the tumor; and 3) tumor clinical-radiotherapy plan big-data analysis-based optimization calculation of the multi-objective radiotherapy plan, wherein the 1) and the 2) are combined to determine the self-adaptive biological intensity modulated clinical precise tumor radiotherapy plan of multi-objective optimization through an intelligent big-data analysis method and a deep learning, machine learning or artificial intelligence method according to clinical tumour radiotherapy plan data.
Description
technical field [0001] The present invention relates to radiotherapy planning, multi-objective optimization, medical imaging, image processing, image analysis, machine learning, pattern recognition, big data analysis, artificial intelligence, robotics, automation and tumor radiation physics, radiation biology, biomedical engineering and other technical fields ; Especially related to PET biological target area, biological sub-target area and PET / CT / MRI / CBCT / ultrasound and other tumor multimodal (type) image fusion target area intelligent delineation method for tumor radiotherapy, optimal prescription dose optimization calculation of biological intensity modulation And biological intensity-modulated radiotherapy plan optimization calculation method, multi-objective radiotherapy plan optimization calculation method, adaptive radiotherapy plan optimization calculation method; specifically, it demonstrates the intelligent optimization method of tumor radiotherapy plan. Background ...
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