Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
1.
Chinese Journal of Surgery ; (12): 187-189, 2009.
Article in Chinese | WPRIM | ID: wpr-238930

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the significance of three dimensional visualization and virtual surgery system in living related donor liver transplantation surgery.</p><p><b>METHODS</b>Two patients suffered biliary calculi were scanned by 64 slice helical computer tomography (CT) on livers and the data were imported into medical image proceeding system (MIPS) for sequence. Man-made segmentation and true-up on the image from the data were carried out. Three dimensional (3D) models of the liver and the intrahepatic vessels were reconstructed by VTK software respectively. The models were exported with format STL from it and then were imported into the FreeForm Modeling System for smoothing and modifying. At last, living related donor liver transplantation were simulated with the force-feedback equipment (PHANToM).</p><p><b>RESULTS</b>It had great verisimilar image for the reconstructed 3D liver models with artery, hepatic vein, portal vein and bile duct. By seeing through liver, it had high fidelity and strong 3D effect for the intrahepatic artery, hepatic vein, portal vein and bile duct, and their spatial disposition and course and co-relationship were shown clearly. In the virtual surgery system, the virtual scalpel could be manipulated on 3D liver model with PHANToM. The simulating effect was the same as the clinic operation for living related donor liver transplantation.</p><p><b>CONCLUSIONS</b>The visualized liver model reconstructed is 3D and verisimilar, and it is helpful to design reasonable scheme for liver transplantation. It can improve the surgical effect, decrease the surgical risk, reduce the complication, enhance the communication between doctor and patient through designing surgical plan and demonstrating visualized operation before surgery.</p>


Subject(s)
Adult , Female , Humans , Computer Simulation , Image Processing, Computer-Assisted , Imaging, Three-Dimensional , Liver , Diagnostic Imaging , Liver Transplantation , Living Donors , Models, Anatomic , Tomography, Spiral Computed , User-Computer Interface
2.
Journal of Southern Medical University ; (12): 16-19, 2009.
Article in Chinese | WPRIM | ID: wpr-339078

ABSTRACT

<p><b>OBJECTIVE</b>To investigate the value of virtual surgery in hepatic artery reconstruction in liver recipients with type II hepatic artery variation.</p><p><b>METHODS</b>A patient with cholangiocellular carcinoma and a healthy individual were scanned using 64-slice spiral CT, and image segmentation and three-dimensional (3D) reconstruction were performed using an image processing system. The 3D models in STL format were then imported to the FreeForm Modeling System for smoothing and refinement. Hepatic artery reconstruction was performed in simulated liver transplantation using the virtual surgery system with force feedback (PHANTOM).</p><p><b>RESULTS</b>The reconstructed model contained the liver, hepatic arteries, biliary system, and bile duct tumor emboli and displayed the entire branching of the hepatic artery with type II variation. Using the virtual surgery system, arterial reconstruction was performed by anastomosing the donor celiac trunk and the recipient abdominal aorta with the virtual scalpel and needle.</p><p><b>CONCLUSION</b>The reconstructed model allows clearer views of the 3D structures of the arteries in the liver and helps in preoperative preparations and surgical planning of artery reconstruction during liver transplantation. This approach may also help reduce the surgical risks and potential complications.</p>


Subject(s)
Female , Humans , Middle Aged , Computer Simulation , Computer-Assisted Instruction , Methods , Hepatic Artery , Congenital Abnormalities , General Surgery , Imaging, Three-Dimensional , Methods , Liver Neoplasms , Diagnostic Imaging , Pathology , General Surgery , Liver Transplantation , Surgery, Computer-Assisted , Methods , Tomography, Spiral Computed
SELECTION OF CITATIONS
SEARCH DETAIL