Objective To evaluate the effectiveness of percutaneous puncture of thoracolumbar vertebral pedicle assisted by mixed reality technology based on multi-point registration algorithm. Methods The operator used two methods, namely MR-assisted puncture (a self-developed MR calibration method based on multi-point registration algorithm combined with MR head mounted equipment) and manual puncture, to perform percutaneous puncture of the thoracolumbar pedicle on the spinal prosthesis model. The distance between the first blind puncture point and the preset nail center point, and single registration and puncture time were compared among different puncture methods. Results Four operators completed a total of 48 MR-assisted punctures and 48 manual punctures. The deviation distance of MR-assisted puncture [(1.69±0.29) vs. (4.99±2.06) mm], registration and puncture time [(131.41±5.35) vs. (475.98±65.26) s] were all better than manual puncture (P<0.05). Conclusion The prosthetic model data shows that MR technology-assisted puncture based on multi-point registration algorithm can improve the accuracy and efficiency of percutaneous puncture of thoracolumbar vertebral pedicle compared to traditional manual puncture.
Citation:
SHEN Danwei, DENG Jiayan, LIN Xu, HU Haigang, WU Chao. Research on percutaneous puncture of thoracolumbar vertebral pedicle assisted by mixed reality technology based on multi-point registration algorithm. West China Medical Journal, 2025, 40(9): 1387-1391. doi: 10.7507/1002-0179.202410044
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Copyright © the editorial department of West China Medical Journal of West China Medical Publisher. All rights reserved
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