Parkinson's disease DBS preoperative intelligent evaluation and classification method based on MRI image
Through the intelligent evaluation classification method based on MRI images, the problem of insufficient consideration of individual differences in the preoperative evaluation of DBS in Parkinson's disease was solved, and high accuracy and personalized adjustment of electrode placement were achieved, which significantly improved the surgical effect.
Patent Information
- Application Number
- CN202510216345.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-26
- Publication Date
- 2025-03-28
- Estimated Expiration
- 2045-02-26
AI Technical Summary
The prior art lacks scientific quantitative analysis in the preoperative evaluation of DBS in Parkinson's disease, and cannot effectively consider individual differences, resulting in inaccurate electrode placement and affecting the surgical effect.
Using an intelligent evaluation and classification method based on MRI images, the patient's three-dimensional magnetic resonance map is obtained, the target nucleus is positioned, combined with patient attribute information and nucleus volume information, the electrode placement position is determined, and real-time adjustment is made to achieve the best therapeutic effect.
It improves the accuracy of electrode placement and diagnosis and treatment efficiency, can personalize the actual needs of patients, and significantly improves the symptoms of Parkinson's disease patients.