Radio frequency ablation navigation device based on multi-modal image fusion

Through multimodal image fusion and real-time respiratory data processing, the radio frequency ablation navigation path is dynamically adjusted, which solves the target drift caused by respiratory movement in traditional systems, achieves accurate compensation and safety improvement, and reduces the risk of nerve damage.

CN120360700AInactive Publication Date: 2025-07-25THE FIRST HOSPITAL OF HUNAN UNIV OF CHINESE MEDICINE (CLINICAL RES INST OF TRADITIONAL CHINESE MEDICINE)
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Patent Information

Application Number
CN202510842746.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-23
Publication Date
2025-07-25
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

When the existing radiofrequency ablation navigation system deals with target drift errors caused by respiratory movement, it is impossible to establish an accurate mapping relationship between different phases and organ dynamic displacements during the respiratory cycle, which increases the risk of vascular or nerve error damage, especially during organ surgery near the diaphragm.

Method used

Using a radio frequency ablation navigation device based on multimodal image fusion, data is collected in real time through respiratory sensors, three-dimensional model is constructed in combination with multimodal image, phase curves are constructed and the displacement difference of target points during the respiratory cycle is dynamically calculated, navigation paths are automatically adjusted to avoid important neural areas, and virtual sectional images are generated using multi-scale convolutional neural networks to accurately compensate for respiratory motion errors.

Benefits of technology

Accurately compensate for respiratory movement errors, reduce the risk of neurological injury, improve operational safety, provide three-dimensional visual navigation of multi-layer tissues, dynamically optimize path curvature and safe distance, reduce positioning errors, and improve surgical safety and efficiency.

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Abstract

The invention discloses a radiofrequency ablation navigation device based on multi-modal image fusion. The device comprises a respiration sensor, an image reconstruction server, an interaction terminal and a processor. The respiration sensor is worn on a target object and used for collecting respiration data of the target object. The image reconstruction server is used for receiving the multi-modal image of the target object and reconstructing the multi-modal image into a three-dimensional model; the three-dimensional model comprises an organ geometric model, nerve distribution and a blood vessel network. And the interaction terminal is connected with the image reconstruction server and is used for marking a starting point and an ending point for the three-dimensional model. The processor is connected with the respiration sensor, the image reconstruction server and the interaction terminal; and the processor generates a predicted path output according to the respiration data and the three-dimensional model marking the starting point and the ending point. The method has the advantages that respiratory movement errors are accurately compensated, the nerve mistaken injury risk is reduced, and the operation safety is improved.
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