Abstract

3D reconstruction of image sequences is an important application in computer graphics and image processing, especially in biomedical engineering. 3D reconstruction of elastin second harmonic generation (SHG) sequences images can offer much more spatial structure information to improve the diagnostic accuracy significantly. In the paper, we designed a reconstruction pipeline of normal scar samples based on three reconstruction algorithms including Marching cubes, Ray casting volume rendering and Contours algorithm and compared their results. The results show that contours algorithm is more effective and has better performance than the other two methods.

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