Fang Chi-hua, Tang Yun-qiang, Lu Chao-min, Liu Yu-bin, Peng Feng-ping, Bao Su-su
Departmeny of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2008 Mar;28(3):356-9.
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.
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.
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.
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.
基于64层螺旋CT获取的肝脏、胆道及胆囊结石的二维图像数据，研究胆囊切除术的二维（2D）图像分割、三维（3D）重建及虚拟手术。
通过64层螺旋CT扫描获取肝脏、胆道及胆囊结石的图像数据。采用自适应区域生长算法进行图像分割及自动提取。利用MIMICS10.0和自行设计的软件对分割后的数据进行三维重建，并将带有胆道的肝脏三维模型数据导入FreeForm Modeling System进行配准和平滑处理。使用Phantom进行胆囊切开取石术和胆囊切除术的虚拟手术。
自适应区域生长算法可实现快速图像分割，基于分割数据的肝脏三维模型清晰显示了肝脏生动的三维结构。在FreeForm Modeling System中可进行胆囊切除术的虚拟操作。
我们提出的算法能够正确、快速地从64层螺旋CT数据中完成胆囊结石的图像分割和三维重建，并可对胆囊进行虚拟手术。
