Computed tomography reconstruction based on canny edge detection algorithm for acute expansion of epidural hematoma

Abstract

Background: and purpose: Acute enlargement of epidural hematoma often indicates a poor prognosis. This paper aims to explore the predictive value of computed tomography (CT) reconstruction based on the Canny segmentation algorithm for acute expansion of epidural hematoma. Methods: A retrospective analysis was made of 73 patients with epidural hematoma in our hospital. They were divided into two groups according to whether there was an acute expansion of hematoma during and after operation: the expansion group and the non-expansion group. Canny edge detection algorithm was used to segment the focus, and three-dimensional (3D) reconstruction was performed to predict the acute expansion of epidural hematoma. Evaluate the effect of 3D reconstruction of epidural hematoma and the application value of 3D CT reconstruction in acute hematoma enlargement. Results: The Dice value of the hematoma segmentation result based on Canny's edge detection algorithm was 0.919. The accuracy, sensitivity, and specificity of 3D CT reconstruction were 88.46%, 87.03, and 91.67%, respectively. Conclusion: The Canny edge detection algorithm has good accuracy in segmenting epidural hematoma, and CT reconstruction has an excellent predictive effect on the acute expansion of epidural hematoma.

Keywords

• Epidural hematoma
• Hematoma enlargement
• Canny edge detection
• Predictive evaluation