Three-dimensional reconstruction technology can display the three-dimensional graphical data of medical images to diagnostic personnel, so as to facilitate multi-dimensional and multi-level observation of patient data, and assist doctors in qualitative and quantitative analysis of pathological tissue. A surface reconstruction algorithm for three-dimensional medical images based on segmentation is proposed. It combines image segmentation with MC (marching cubes) algorithm organically, which can be based on the characteristics of different medical images. An appropriate segmentation method is used to segment different tissues accurately, and the result of segmentation is used to extract the isosurface accurately, which avoids the limitation that MC is only suitable for threshold segmentation. After the medical image is segmented by combining threshold and region growth, the segmentation results are input as the reconstructed data, and the improved algorithm of three-dimensional reconstruction is realized. The medical image is rendered on three-dimensional surface, and the debugging results of the software are displayed. At the same time, a cube detection method based on region growing is adopted to improve the efficiency of surface tracking. Experiments show that this algorithm can improve the reconstruction speed and display effect.
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