[Study on three dimensional reconstruction and simulation surgery of spleen].

ABSTRACT

OBJECTIVE: To study the three-dimensional (3D) reconstruction and the visualization simulation surgery of spleen based on the scanning data of 64-slice helical computed tomograph (CT). METHODS: The original data of 64-slice helical CT of spleen was collected, and then the CT image sequences were segmented and automatically extracted using auto-adapted region growth algorithm, and were conducted with the segmented images by adopt self-developed image processing software for 3D reconstruction. Finally, the 3D models were imported into FreeForm Modeling System for modifying and smooth. And the visualization simulation surgery was performed before splenectomy. RESULTS: It was fast and effective to utilize auto-adapted region growth algorithm to conduct spleen image program segmentation; the reconstructed models were seen clearly and could reappear the structure of the spleen and the important surrounding organs. The effect of the splenectomy simulation surgery was similar to the practical surgery. CONCLUSIONS: The research on 3D models of spleen and visualization simulation surgery of splenectomy could lead to clinical benefits. It maybe improve the surgical effect and decrease the surgical risk and reduce the complication demonstrating visualized operation before surgery.