目的 建立基于光学定位的超声与CT图像融合的技术路线,旨在解决颅颌面软组织外科导航的关键问题。方法 1获取超声图像的二维空间位置,通过最邻近差值算法进行三维重建,获取其三维空间位置信息;2将超声及DICOM格式的CT影像数据,运用自主研发的基于dLDP的图像融合算法进行融合;3超声与CT图像融合的临床验证,并评价其融合效果。结果 所建立的基于dLDP的图像融合算法实现了颅颌面部超声与CT的融合,平均融合误差1.96 mm。结论 基于dLDP图像融合算法的精度和图像显示效果能基本满足临床需求,并且对于自主研究口腔颅颌面软组织术中导航系统具有重要指导意义。

Objective To establish the technological route of ultrasound and CT image fusion based on optical tracking system and to apply in soft tissue navigation of craniomaxillofacial surgery. Methods (1) To acquire two-dimensional ultrasound images and three-dimensional reconstruction through the nearest neighboring difference algorithm;(2) Ultrasound and CT image fusion through the dLDP algorithm independently researched; (3) Clinial verification and evaluation of the effect of image fusion. Results The independently researched image fusion algorithm based on dLDP realized the fusion of craniomaxillofacial ultrasound and CT, the average error was about 1.96 mm. Conclusion The accuracy and display effect based on the dLDP algorithm can meet the clinical requirements. It has important significance in independent research of craniomaxillofacial soft tissue navigation system.