Abstract
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 < 0.05 ). Before operation, the blood flow velocity in the neck of aneurysm was 7.35 × 10−2 m/s, the exit velocity was 1.51 × 10−1 m/s, and the maximum velocity appeared in the upstream part of the exit. After passing through the aneurysm, the blood flow velocity began to decrease gradually, forming a vortex at the top of the tumor. After stent implantation, the neck and outlet velocities of cerebral aneurysm were 9.352 × 10−2 m/s and 1.897 × 10−2 m/s, respectively. The velocity of blood flow decreased after entering the aneurysm, and there was no vortex at the top of the aneurysm. Among the outlet velocities of arterial blood vessels, the velocity before stent implantation was significantly lower than that after stent implantation, and the difference was statistically significant ( P < 0.05 ). Compared with prestent, the shear force distribution on the wall of cerebral aneurysm showed a significant decrease, and the difference was statistically significant ( P < 0.05 ). To sum up, pelvic floor ultrasound based on hybrid iterative reconstruction algorithm has high accuracy in diagnosing the changes of blood flow field in cerebral aneurysms. The application of CT images in the diagnosis of cerebral aneurysms can objectively provide imaging data for clinical practice and has high application value.
Highlights
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 computed tomography (CT) images of patients with cerebral aneurysms and used it to solve the problem of image sharpness
It can be concluded that the sensitivity, specificity, and accuracy of the hybrid iterative reconstruction algorithm were 90.78%, 83.27%, and 94.82%, and the running time was 15.18 ± 2.19 s. e sensitivity, specificity, and accuracy of the hybrid iterative reconstruction method were higher than those of the backprojection image reconstruction algorithm and Fourier transform analysis method, but the running time was shorter (P < 0.05), which showed that CT images under this algorithm could improve doctors’ diagnosis
Based on the optimized hybrid iterative algorithm, this research carried out 3D modeling of cerebral aneurysm from CT image data, conducted transient bidirectional fixed coupling blood flow simulation, and obtained the corresponding hemodynamic parameters after stent implantation. e results showed that the sensitivity, specificity, and accuracy of the hybrid iterative algorithm were 90.78%, 83.27%, and 94.82% and the running time was 15.18 ± 2.19 s. e sensitivity, specificity, and accuracy of the hybrid iterative reconstruction method were higher than those of the backprojection image reconstruction algorithm and Fourier transform analysis method, but the running time was shorter (P < 0.05), which was similar to Dunet et al [14]
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. Pelvic floor ultrasound based on hybrid iterative reconstruction algorithm has high accuracy in diagnosing the changes of blood flow field in cerebral aneurysms. CT has accurate feedback for the diagnosis of diseases and has high sensitivity and accuracy for determining the location of lesions and the size and number of lesions It exerts a reliable prompting effect on the tissue infiltration around cancer in the brain, so it is very suitable for collection and study the images of cerebral artery tumor [7]. Hybrid iterative reconstruction algorithm is composed of two denoising parts: iterative maximum likelihood restoration based on noise distribution and fitting the local structure model of image data that can greatly reduce irrelevant noise [9]. erefore, this research will use the hybrid iterative reconstruction algorithm to reconstruct and analyze multislice spiral CT images, so as to improve the quality of CT images and the effect of auxiliary diagnosis and treatment
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