使用激光扫描仪和非刚性配准技术确定影像引导肺气肿手术的切除线。
Determining the operative line of resection for image-guided emphysema surgery using a laser scanner and non-rigid registration.
机构信息
Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA.
出版信息
Int J Med Robot. 2010 Jun;6(2):239-49. doi: 10.1002/rcs.315.
BACKGROUND
Although many diseases such as emphysema are diagnosed with preoperative imaging modalities, this information is rarely utilized in the operating room. A method that relates the preoperative images to the non-rigid organ in physical space would aid a surgeon to determine the line of resection.
METHODS
We used a three-dimensional (3D) laser scanner to obtain intraoperative images of the lung and overlayed it with preoperative CT images, using a non-rigid image registration method.
RESULTS
The non-overlapping registration error of the system was 1.91 +/- 0.28% without organ deformation and 2.69 +/- 0.28% with 9% organ deformation. When 83% of the organ was visible, the registration error was 2.99 +/- 0.42%.
CONCLUSION
A novel image overlay system using a 3D laser scanner and a non-rigid registration method was implemented and its accuracy evaluated. By using the proposed system, we successfully related the preoperative images with an open organ in the operating room.
背景
尽管许多疾病，如肺气肿，都可以通过术前成像方式进行诊断，但这些信息在手术室中很少被利用。一种将术前图像与物理空间中的非刚性器官相关联的方法将有助于外科医生确定切除线。
方法
我们使用三维（3D）激光扫描仪获取肺的术中图像，并使用非刚性图像配准方法将其与术前 CT 图像叠加。
结果
系统的无器官变形时的非重叠配准误差为 1.91 +/- 0.28%，有 9%器官变形时的误差为 2.69 +/- 0.28%。当 83%的器官可见时，配准误差为 2.99 +/- 0.42%。
结论
我们实现了一种使用 3D 激光扫描仪和非刚性配准方法的新型图像叠加系统，并对其准确性进行了评估。通过使用所提出的系统，我们成功地将术前图像与手术室中打开的器官相关联。
Zotero 插件