Loading…
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...
Saved in:
Published in: | Scientific programming 2021-12, Vol.2021, p.1-10 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c294t-7a72c983ab158c30eace9b6b524cbe2c0b5fe5eb324436337d7d6d15303d5f7c3 |
container_end_page | 10 |
container_issue | |
container_start_page | 1 |
container_title | Scientific programming |
container_volume | 2021 |
creator | Bao, Kunyang Liu, Chao Li, Jin Liu, Xiang Luo, Wenzhang Huang, Changren |
description | 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 |
doi_str_mv | 10.1155/2021/7915729 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2609151308</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2609151308</sourcerecordid><originalsourceid>FETCH-LOGICAL-c294t-7a72c983ab158c30eace9b6b524cbe2c0b5fe5eb324436337d7d6d15303d5f7c3</originalsourceid><addsrcrecordid>eNp9kc1O3DAUhSPUSlBgxwNciWUb8M94kiynEQMjISFRKrGLHPtmYpTYqe2Ahifr4-HRsGZ17-I79-ecLLug5IpSIa4ZYfS6qKgoWHWUndCyEHlFq-dvqSeizCu2WBxnP0J4IYSWlJCT7H_txmmOqOHJjW7r5dTvYDPKLcJsNXp4mKIZzXsCNhG9jOYV4RGVsyH6WUXjLKyGrfMm9iNEBysrh907QuwR6l56qZLMhGhUANfB78E5DevBvcHa4KDBWKjRY-vlkLQ4-10YocXOeQRpNcgu6eFPRBvTXdMgbZT7rWfZ904OAc8_62n2d33zVN_l9w-3m3p1nytWLWJeyIKpquSypaJUnKBUWLXLVrCFapEp0ooOBbY8WcOXnBe60EtNBSdci65Q_DS7PMydvPs3Y4jNi5t9ejI0bEmS15STMlG_DpTyLgSPXTN5M0q_ayhp9tk0-2yaz2wS_vOA98Zq-Wa-pj8AEWKShw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2609151308</pqid></control><display><type>article</type><title>Computed Tomography Image under Optimized Iterative Reconstruction Algorithm to Analyze the Characteristics of Blood Flow Field in Cerebral Aneurysm before and after Stent Implantation</title><source>Wiley Open Access Journals</source><creator>Bao, Kunyang ; Liu, Chao ; Li, Jin ; Liu, Xiang ; Luo, Wenzhang ; Huang, Changren</creator><contributor>Ramirez, Gustavo ; Gustavo Ramirez</contributor><creatorcontrib>Bao, Kunyang ; Liu, Chao ; Li, Jin ; Liu, Xiang ; Luo, Wenzhang ; Huang, Changren ; Ramirez, Gustavo ; Gustavo Ramirez</creatorcontrib><description>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.</description><identifier>ISSN: 1058-9244</identifier><identifier>EISSN: 1875-919X</identifier><identifier>DOI: 10.1155/2021/7915729</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>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</subject><ispartof>Scientific programming, 2021-12, Vol.2021, p.1-10</ispartof><rights>Copyright © 2021 Kunyang Bao et al.</rights><rights>Copyright © 2021 Kunyang Bao et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c294t-7a72c983ab158c30eace9b6b524cbe2c0b5fe5eb324436337d7d6d15303d5f7c3</cites><orcidid>0000-0001-9022-8188 ; 0000-0002-7387-7116 ; 0000-0001-5546-0694 ; 0000-0002-9849-7523 ; 0000-0003-3371-0247 ; 0000-0001-7067-9803</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><contributor>Ramirez, Gustavo</contributor><contributor>Gustavo Ramirez</contributor><creatorcontrib>Bao, Kunyang</creatorcontrib><creatorcontrib>Liu, Chao</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Liu, Xiang</creatorcontrib><creatorcontrib>Luo, Wenzhang</creatorcontrib><creatorcontrib>Huang, Changren</creatorcontrib><title>Computed Tomography Image under Optimized Iterative Reconstruction Algorithm to Analyze the Characteristics of Blood Flow Field in Cerebral Aneurysm before and after Stent Implantation</title><title>Scientific programming</title><description>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.</description><subject>Algorithms</subject><subject>Aneurysms</subject><subject>Arteries</subject><subject>Blood flow</subject><subject>Blood vessels</subject><subject>Carotid arteries</subject><subject>Computed tomography</subject><subject>Flow velocity</subject><subject>Fluid flow</subject><subject>Force distribution</subject><subject>Fourier transforms</subject><subject>Image reconstruction</subject><subject>Implantation</subject><subject>Iterative methods</subject><subject>Medical imaging</subject><subject>Non-Newtonian fluids</subject><subject>Patients</subject><subject>Pressure distribution</subject><subject>Reverse engineering</subject><subject>Reynolds number</subject><subject>Sharpness</subject><subject>Shear forces</subject><subject>Stents</subject><subject>Surgical implants</subject><subject>Tomography</subject><subject>Veins & arteries</subject><subject>Viscosity</subject><issn>1058-9244</issn><issn>1875-919X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kc1O3DAUhSPUSlBgxwNciWUb8M94kiynEQMjISFRKrGLHPtmYpTYqe2Ahifr4-HRsGZ17-I79-ecLLug5IpSIa4ZYfS6qKgoWHWUndCyEHlFq-dvqSeizCu2WBxnP0J4IYSWlJCT7H_txmmOqOHJjW7r5dTvYDPKLcJsNXp4mKIZzXsCNhG9jOYV4RGVsyH6WUXjLKyGrfMm9iNEBysrh907QuwR6l56qZLMhGhUANfB78E5DevBvcHa4KDBWKjRY-vlkLQ4-10YocXOeQRpNcgu6eFPRBvTXdMgbZT7rWfZ904OAc8_62n2d33zVN_l9w-3m3p1nytWLWJeyIKpquSypaJUnKBUWLXLVrCFapEp0ooOBbY8WcOXnBe60EtNBSdci65Q_DS7PMydvPs3Y4jNi5t9ejI0bEmS15STMlG_DpTyLgSPXTN5M0q_ayhp9tk0-2yaz2wS_vOA98Zq-Wa-pj8AEWKShw</recordid><startdate>20211202</startdate><enddate>20211202</enddate><creator>Bao, Kunyang</creator><creator>Liu, Chao</creator><creator>Li, Jin</creator><creator>Liu, Xiang</creator><creator>Luo, Wenzhang</creator><creator>Huang, Changren</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0001-9022-8188</orcidid><orcidid>https://orcid.org/0000-0002-7387-7116</orcidid><orcidid>https://orcid.org/0000-0001-5546-0694</orcidid><orcidid>https://orcid.org/0000-0002-9849-7523</orcidid><orcidid>https://orcid.org/0000-0003-3371-0247</orcidid><orcidid>https://orcid.org/0000-0001-7067-9803</orcidid></search><sort><creationdate>20211202</creationdate><title>Computed Tomography Image under Optimized Iterative Reconstruction Algorithm to Analyze the Characteristics of Blood Flow Field in Cerebral Aneurysm before and after Stent Implantation</title><author>Bao, Kunyang ; Liu, Chao ; Li, Jin ; Liu, Xiang ; Luo, Wenzhang ; Huang, Changren</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c294t-7a72c983ab158c30eace9b6b524cbe2c0b5fe5eb324436337d7d6d15303d5f7c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Aneurysms</topic><topic>Arteries</topic><topic>Blood flow</topic><topic>Blood vessels</topic><topic>Carotid arteries</topic><topic>Computed tomography</topic><topic>Flow velocity</topic><topic>Fluid flow</topic><topic>Force distribution</topic><topic>Fourier transforms</topic><topic>Image reconstruction</topic><topic>Implantation</topic><topic>Iterative methods</topic><topic>Medical imaging</topic><topic>Non-Newtonian fluids</topic><topic>Patients</topic><topic>Pressure distribution</topic><topic>Reverse engineering</topic><topic>Reynolds number</topic><topic>Sharpness</topic><topic>Shear forces</topic><topic>Stents</topic><topic>Surgical implants</topic><topic>Tomography</topic><topic>Veins & arteries</topic><topic>Viscosity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bao, Kunyang</creatorcontrib><creatorcontrib>Liu, Chao</creatorcontrib><creatorcontrib>Li, Jin</creatorcontrib><creatorcontrib>Liu, Xiang</creatorcontrib><creatorcontrib>Luo, Wenzhang</creatorcontrib><creatorcontrib>Huang, Changren</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Scientific programming</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bao, Kunyang</au><au>Liu, Chao</au><au>Li, Jin</au><au>Liu, Xiang</au><au>Luo, Wenzhang</au><au>Huang, Changren</au><au>Ramirez, Gustavo</au><au>Gustavo Ramirez</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Computed Tomography Image under Optimized Iterative Reconstruction Algorithm to Analyze the Characteristics of Blood Flow Field in Cerebral Aneurysm before and after Stent Implantation</atitle><jtitle>Scientific programming</jtitle><date>2021-12-02</date><risdate>2021</risdate><volume>2021</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>1058-9244</issn><eissn>1875-919X</eissn><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.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2021/7915729</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9022-8188</orcidid><orcidid>https://orcid.org/0000-0002-7387-7116</orcidid><orcidid>https://orcid.org/0000-0001-5546-0694</orcidid><orcidid>https://orcid.org/0000-0002-9849-7523</orcidid><orcidid>https://orcid.org/0000-0003-3371-0247</orcidid><orcidid>https://orcid.org/0000-0001-7067-9803</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1058-9244 |
ispartof | Scientific programming, 2021-12, Vol.2021, p.1-10 |
issn | 1058-9244 1875-919X |
language | eng |
recordid | cdi_proquest_journals_2609151308 |
source | Wiley Open Access Journals |
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 |
title | Computed Tomography Image under Optimized Iterative Reconstruction Algorithm to Analyze the Characteristics of Blood Flow Field in Cerebral Aneurysm before and after Stent Implantation |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T17%3A44%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Computed%20Tomography%20Image%20under%20Optimized%20Iterative%20Reconstruction%20Algorithm%20to%20Analyze%20the%20Characteristics%20of%20Blood%20Flow%20Field%20in%20Cerebral%20Aneurysm%20before%20and%20after%20Stent%20Implantation&rft.jtitle=Scientific%20programming&rft.au=Bao,%20Kunyang&rft.date=2021-12-02&rft.volume=2021&rft.spage=1&rft.epage=10&rft.pages=1-10&rft.issn=1058-9244&rft.eissn=1875-919X&rft_id=info:doi/10.1155/2021/7915729&rft_dat=%3Cproquest_cross%3E2609151308%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c294t-7a72c983ab158c30eace9b6b524cbe2c0b5fe5eb324436337d7d6d15303d5f7c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2609151308&rft_id=info:pmid/&rfr_iscdi=true |