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

Xiaogang Ren,Yue Wu,Xiaoqiang Yan,Lei Wang,Zhiying Cao,Huangxing Lin,Li Zhang

doi:10.1109/access.2019.2955448

Abstract

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.

Highlights

Abdominal aortic aneurysm (AAA) is a common disease amongst middle-aged and elderly people [1]
The main risk is that cancer cells continue to expand and rupture, endangering patients’ lives [2]. 90% of abdominal aortic aneurysms occur in the lower part of the renal artery, called as the infrarenal abdominal aortic aneurysm [3]
The largest diameter of abdominal aortic aneurysm is often used as the basis for judging whether the AAA rupture is present

Summary

INTRODUCTION

Abdominal aortic aneurysm (AAA) is a common disease amongst middle-aged and elderly people [1]. Obtaining the internal and external contours of the abdominal aortic aneurysm on the computed tomography angiography (CTA) image sequence is the premise for accurate measurement and research of the tumor, and provides a reliable basis for clinical diagnosis. Based on the LBF level set, combined with context information and narrow-band constraints, the high-precision automatic segmentation of the abdominal aortic aneurysm in the image sequence is realized [16]. Reference [12] added geometric constraints to VOLUME 7, 2019 the thrombus and ectal segmentation of abdominal aortic aneurysms These simple shape-based methods are applied to the outer contour segmentation of normal aorta and partial tumor slices. Our proposed algorithm improves the speed and stability of the reconstruction algorithm in three-dimensional reconstruction of abdominal aortic aneurysm

MATERIALS AND METHODS

Findings

CONCLUSION