Zeng Jing, Zhao Jianguo, Hao Jinlong, Sun Peisong, Hu Yuanjing
Department of Gynecologic Oncology, Tianjin Institute of Gynaecology Obsterics, Tianjin Central Hospital of Gynaecology Obsterics, Tianjin, China.
Sci Rep. 2025 Jul 1;15(1):22065. doi: 10.1038/s41598-025-06421-y.
Our previous research demonstrated that, under ideal conditions, high-precision image registration between real-time ultrasound (US) images and preoperative CT/MR images could be achieved using real-time US guidance for needle insertion. In this study, we enhanced a constructed phantom to better simulate the structure of human abdominal tissue, aiming to verify the accuracy of surgical needle placement guided by real-time US images registered with preoperative CT/MR images. Specifically, the pelvic phantom was improved using animal abdominal tissue to mimic the properties of human abdominal tissue. In the improved phantom experiments, the target registration error (TRE) for the real-time needle trajectory of four implanted needles in the registered US-CT images was 0.81 ± 0.11 mm (mean ± SD), with an average trajectory angle error of 0.83 ± 0.063 degrees (mean ± SD). For the registered US-MR images, the average registration error was 0.76 ± 0.014 mm (mean ± SD), and the average trajectory angle error was 0.825 ± 0.018 degrees (mean ± SD). These results demonstrate that, even in simulated human tissue, rigid registration between real-time US images and preoperative CT/MR images maintained high accuracy, supporting the feasibility of real-time US-guided needle insertion.
我们之前的研究表明，在理想条件下，使用实时超声引导进行针插入时，可以实现实时超声（US）图像与术前CT/MR图像之间的高精度图像配准。在本研究中，我们对构建的体模进行了改进，以更好地模拟人体腹部组织的结构，旨在验证由与术前CT/MR图像配准的实时US图像引导的手术针放置的准确性。具体而言，使用动物腹部组织对盆腔体模进行了改进，以模拟人体腹部组织的特性。在改进后的体模实验中，在配准的US-CT图像中，四根植入针的实时针轨迹的目标配准误差（TRE）为0.81±0.11毫米（平均值±标准差），平均轨迹角度误差为0.83±0.063度（平均值±标准差）。对于配准的US-MR图像，平均配准误差为0.76±0.014毫米（平均值±标准差），平均轨迹角度误差为0.825±0.018度（平均值±标准差）。这些结果表明，即使在模拟人体组织中，实时US图像与术前CT/MR图像之间的刚性配准仍保持高精度，支持实时US引导针插入的可行性。
