Visual cortical prosthesis implantation navigation system and method based on multi-modal functional mapping

By combining multimodal image data fusion and virtual electrode simulation with intraoperative closed-loop navigation, the problem of electrodes deviating from high visual function areas during visual cortical prosthesis implantation was solved, achieving maximum coverage of visual function and improved implantation accuracy.

CN122056687APending Publication Date: 2026-05-19MINGSHI BRAIN MACHINERY TECHNOLOGY (SUZHOU) CO LTD
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Patent Information

Application Number
CN202610126089.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-29
Publication Date
2026-05-19

AI Technical Summary

Technical Problem

Current visual cortical prosthesis implantation techniques lack the ability to predict the preoperative function of electrode stimulation effects, making it difficult to quantify the impact of different implantation schemes on visual reconstruction performance. Furthermore, the lack of real-time feedback and closed-loop control during surgery leads to electrodes deviating from high visual function areas, affecting implantation accuracy and safety.

Method used

The visual cortical prosthesis implantation navigation system employs multimodal functional mapping. It constructs a functional voxel set by fusing multimodal image data, dynamically selects optimization strategies, generates the optimal implantation pose and channel disabling configuration, and combines virtual electrode simulation and intraoperative closed-loop navigation to achieve precise electrode implantation.

Benefits of technology

While ensuring vascular safety, we maximize visual function coverage, improve implantation accuracy and postoperative visual reconstruction effect, and achieve a paradigm upgrade from static obstacle avoidance to intelligent function guidance.

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Abstract

The invention discloses a visual cortical prosthesis implantation navigation system and method based on multi-modal functional mapping, and the system comprises a multi-modal data fusion module which is used for receiving and fusing multi-modal image data of a patient to construct a functional voxel set; the implantation planning module is used for dynamically selecting an optimization strategy according to the configuration type of the electrode and generating a planning scheme including an optimal implantation pose and channel forbidding configuration based on an electronic fence mechanism; the virtual electrode simulation module is used for calculating a virtual receptive field between physical electrodes based on a planning scheme, and simulating and visualizing a visual perception effect generated by electrode array stimulation under the optimal implantation pose; and the intraoperative closed-loop navigation module is used for guiding and controlling an execution mechanism to complete the implantation operation of the electrode according to the target implantation pose provided by the planning scheme in the operation. The maximized visual function coverage is realized on the premise of ensuring the blood vessel safety, and the uniformity of the implantation precision and the postoperative visual reconstruction effect is improved.
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