[Virtual surgery of cholecystotomy for calculus removal and cholecystectomy in patients with cholecystolithiasis].

ABSTRACT

OBJECTIVE: To study the two-dimensional (2D) image segmentation, three-dimensional (3D) reconstruction and virtual surgery of cholecystectomy based on the 2D image data of the liver, biliary track and cholecystolithiasis obtained by 64-slice spiral CT. METHODS: The image data of the liver, biliary track and cholecystolithiasis were obtained by 64-slice spiral CT scanning. Segmentation and automatic extraction of the images were performed using auto-adapting region growing algorithm. 3D reconstruction of the segmented data was carried out using MIMICS10.0 and self-designed software, and the data of the 3D model of the liver with the billiary tract were imported into FreeForm Modeling System for registration and smoothing. Virtual surgery of cholecystotomy for calculus removal and cholecystectomy were performed with Phantom. RESULTS: The auto-adapting region growing algorithm allowed rapid image segmentation, and the 3D model of the liver based on the segmentation data clearly displayed vivid 3D structures of the liver. Virtual operations of cholecystectomy could be performed in the FreeForm Modeling System. CONCLUSION: The algorithm we proposed can correctly and rapidly complete image segmentation and 3D reconstruction of cholecystolithiasis from the data 64-slice spiral CT, and allows virtual operations on the gallbladder.