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Determining the operative line of resection for image-guided emphysema surgery using a laser scanner and non-rigid
Jong-Ha Lee1, Chang-Hee Won, Nathaniel Marchetti
1Department of Electrical and Computer Engineering, Temple University, Philadelphia, PA 19122, USA.
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.
