Background: This study was to evaluate CT vein image segmentation and three-dimensional imaging in the anatomical structure of gastrocolic venous trunk before operation for colon cancer.
Methods: CT scanning images by Philips Brilliance CT 256CT scanner. Vein position was segmented and calculated by grey value through algorithm flow. Intensity measurement of selected image area by a calculate through noise cancellation and missing pixel filling, based on numerical morphology.
Results: The direction of the right colonic vein could be clearly displayed in all 96 patients by morphological filtering technique. Among these patients, there were 78 patients with gastrocolic vein trunk, with an occurrence rate of 81.25%. According to the classification of GVT, there were 36 cases of type A (46.2%), 22 cases of type B (28.2%), 12 cases of type C (15.4%) and 6 cases of type D (7.7%).
Conclusion: CT vein image segmentation and three-dimensional imaging can effectively evaluate the anatomical variation of gastrocolic vein trunk before operation, which is helpful for operators to correctly understand its anatomical structure and choose a reasonable anatomical approach.
Keywords: colon cancer, computed tomography angiography, three-dimensional reconstruction, gastrocolic vein trunk, morphological filtering technique