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Three-dimensional reconstruction of abdominal aortic aneurysm is the key technology to improve the success rate of surgical and reduce complications. However, the outer contour of abdominal aortic aneurysm(AAA)is fuzzy, which make it difficult for recent existing method to obtain its accurate segmentation performance and high reconstruction accuracy. In this paper, an improved compressive sensing reconstruction algorithm is proposed, which defines a differentiable and convex total variation (TV) function as an optimization goal function and further reduces the number of projections and improve the quality of reconstructed images. Our proposed algorithm improves the speed and stability of the reconstruction algorithm in three-dimensional reconstruction of abdominal aortic aneurysm. The experimental results show that the proposed model can be used for 3D modeling in 3-D printing to improve the accuracy of endovascular repair and the adaptability of the stent, which is suitable for the application of bioengineering medicine.

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Three-Dimensional Reconstruction of Abdominal Aortic Aneurysm Based on Compressive Sensing With Iterative Optimization and Its Application in 3D Printing