An ai planning and microsphere size optimization method for prostate arterial embolization surgery

CN122930397APending Publication Date: 2026-10-16LIHENG (HAINAN) MEDICAL TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202611242142.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-08-17
Publication Date
2026-10-16

AI Technical Summary

Technical Problem

当前临床PAE实施高度依赖医师经验，缺乏多模态影像融合处理、个体化血管三维建模、流体动力学仿真与术中实时量化监控的一体化技术支撑，手术精准度与安全性难以稳定保障，急需智能化、个体化的手术规划与优化技术

Benefits of technology

[0033]I. This invention utilizes multimodal image preprocessing and 3D vascular reconstruction technology to accurately extract the 3D topological structure and geometric features of the prostate artery, enhancing the accuracy of identifying and segmenting small vascular branches, and providing stable and reliable vascular data support for surgical planning. Combined with liquid-solid multiphase fluid dynamics simulation to recreate the real motion of microspheres within the blood vessel, and relying on a multi-objective loss function to achieve individualized matching and optimization of microsphere particle size, the microsphere selection is highly compatible with the patient's vascular morphology and blood flow characteristics, effectively avoiding problems such as insufficient embolization and ectopic embolization. This technology deeply integrates image processing, fluid simulation, and particle size optimization to build a fully individualized surgical planning framework, significantly improving the accuracy of prostate artery embolization surgery, ensuring embolization effectiveness while reducing intraoperative safety risks, breaking away from the reliance on traditional experience-based diagnosis and treatment, and making surgical implementation more aligned with the patient's individual physiological state.

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Abstract

The application discloses an AI planning and microsphere particle size optimization method for a prostate arterial embolization operation, relates to the cross field of interventional radiology medical instruments and artificial intelligence, and specifically comprises the following steps: performing multimodal image preprocessing, acquiring and processing pelvic MRI images and ultrasonic Doppler blood flow parameters of a patient; reconstructing a three-dimensional topology of a prostate artery by using an improved 3DU-Net model and outputting geometric parameters; establishing a vascular flow resistance model based on the parameters to perform fluid dynamics simulation; constructing a multi-objective loss function to optimize the particle size of microspheres; monitoring blood flow in real time by using an optical flow method during the operation, constructing a judgment logic to output a stop injection warning, and integrating image processing, fluid simulation and particle size optimization to build an individualized operation planning framework, improve operation accuracy and reduce hidden dangers; with the aid of real-time blood flow monitoring and automatic judgment of an embolization end point during the operation, quantitative and standardized judgment of the embolization end point is realized, an integrated intelligent system is formed, and support is provided for safe and standardized operation.
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