Computed Tomography Image under Optimized Iterative Reconstruction Algorithm to Analyze the Characteristics of Blood Flow Field in Cerebral Aneurysm before and after Stent Implantation

In order to analyze the change characteristics of blood flow field in cerebral aneurysms before and after stent implantation, this study first constructed an optimized iterative reconstruction algorithm to reconstruct CT images of patients with cerebral aneurysms and used it to solve the problem of...

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Bibliographic Details
Published in:Scientific programming 2021-12, Vol.2021, p.1-10
Main Authors: Bao, Kunyang, Liu, Chao, Li, Jin, Liu, Xiang, Luo, Wenzhang, Huang, Changren
Format: Article
Language:English
Subjects:
Algorithms
Aneurysms
Arteries
Blood flow
Blood vessels
Carotid arteries
Computed tomography
Flow velocity
Fluid flow
Force distribution
Fourier transforms
Image reconstruction
Implantation
Iterative methods
Medical imaging
Non-Newtonian fluids
Patients
Pressure distribution
Reverse engineering
Reynolds number
Sharpness
Shear forces
Stents
Surgical implants
Tomography
Veins & arteries
Viscosity
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Description
Summary:In order to analyze the change characteristics of blood flow field in cerebral aneurysms before and after stent implantation, this study first constructed an optimized iterative reconstruction algorithm to reconstruct CT images of patients with cerebral aneurysms and used it to solve the problem of image sharpness. In addition, backprojection image reconstruction algorithm and Fourier transform analytic method were introduced. According to the CT images of cerebral arteries of patients, the lesions were presented in a three-dimensional and visual way through the reconstructed three-dimensional images, thus achieving the effects of simulation and simulation. The results showed that the sensitivity, specificity, and accuracy of the optimized iterative reconstruction algorithm were 90.78%, 83.27%, and 94.82%, which were significantly higher than those of the backprojection image reconstruction algorithm and Fourier transform analysis method, and the difference was statistically significant (P
ISSN:1058-9244
1875-919X
DOI:10.1155/2021/7915729