Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging

To explore the computed tomography (CT) imaging characteristics and BPF algorithm fine lung CT image efficiency for the diagnosis of pelvic fracture patients and assist clinicians to carry out the disease care and treatment, CT images based on optimized back-projection filtering (BPF) algorithm were...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Aihua Pu, Hua Wang, Jichong Ying
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/13af712caacc4c59b53dcd3fbc6f999f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:13af712caacc4c59b53dcd3fbc6f999f
record_format	dspace
spelling	oai:doaj.org-article:13af712caacc4c59b53dcd3fbc6f999f2021-11-22T01:09:58ZOptimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging1875-919X10.1155/2021/3554718https://doaj.org/article/13af712caacc4c59b53dcd3fbc6f999f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3554718https://doaj.org/toc/1875-919XTo explore the computed tomography (CT) imaging characteristics and BPF algorithm fine lung CT image efficiency for the diagnosis of pelvic fracture patients and assist clinicians to carry out the disease care and treatment, CT images based on optimized back-projection filtering (BPF) algorithm were utilized to diagnose postoperative reduction of pelvic fractures and penetrating lung infection caused by long-term bed rest. A total of 100 patients with pelvic fracture were selected and all of them underwent pelvic fracture surgery and were rolled into conventional CT diagnosis group (conventional group) and BPF algorithm optimized CT image diagnosis group (BPF group). One group used conventional CT images to guide pelvic reduction and detect lung infections, and the other used BPF algorithm to optimize the images. The results showed that the BPF group was superior to the conventional CT group in both image clarity and shadow area, and the peak signal-to-noise ratio (PSNR) was significantly better than that of the conventional group (P<0.05). Nine more cases were detected in the algorithm group than in the conventional group, and the incidence of complications was 48% in the conventional group and 28% in the BPF group, with a statistical difference of 20% between the two groups (P<0.05). In addition, the satisfaction of returning patients was 96% in the BPF group and 77% in the conventional group (P<0.05). The diagnosis of pulmonary infection was more obvious in the BPF group, indicating that BPF optimization of the CT image was suitable for clinical diagnosis and had a practical application value.Aihua PuHua WangJichong YingHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer software QA76.75-76.765
spellingShingle	Computer software QA76.75-76.765 Aihua Pu Hua Wang Jichong Ying Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging
description	To explore the computed tomography (CT) imaging characteristics and BPF algorithm fine lung CT image efficiency for the diagnosis of pelvic fracture patients and assist clinicians to carry out the disease care and treatment, CT images based on optimized back-projection filtering (BPF) algorithm were utilized to diagnose postoperative reduction of pelvic fractures and penetrating lung infection caused by long-term bed rest. A total of 100 patients with pelvic fracture were selected and all of them underwent pelvic fracture surgery and were rolled into conventional CT diagnosis group (conventional group) and BPF algorithm optimized CT image diagnosis group (BPF group). One group used conventional CT images to guide pelvic reduction and detect lung infections, and the other used BPF algorithm to optimize the images. The results showed that the BPF group was superior to the conventional CT group in both image clarity and shadow area, and the peak signal-to-noise ratio (PSNR) was significantly better than that of the conventional group (P<0.05). Nine more cases were detected in the algorithm group than in the conventional group, and the incidence of complications was 48% in the conventional group and 28% in the BPF group, with a statistical difference of 20% between the two groups (P<0.05). In addition, the satisfaction of returning patients was 96% in the BPF group and 77% in the conventional group (P<0.05). The diagnosis of pulmonary infection was more obvious in the BPF group, indicating that BPF optimization of the CT image was suitable for clinical diagnosis and had a practical application value.
format	article
author	Aihua Pu Hua Wang Jichong Ying
author_facet	Aihua Pu Hua Wang Jichong Ying
author_sort	Aihua Pu
title	Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging
title_short	Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging
title_full	Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging
title_fullStr	Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging
title_full_unstemmed	Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging
title_sort	optimized backprojection filtration algorithm for postoperative reduction and analysis of respiratory infection-related factors of pelvic fractures by ct imaging
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/13af712caacc4c59b53dcd3fbc6f999f
work_keys_str_mv	AT aihuapu optimizedbackprojectionfiltrationalgorithmforpostoperativereductionandanalysisofrespiratoryinfectionrelatedfactorsofpelvicfracturesbyctimaging AT huawang optimizedbackprojectionfiltrationalgorithmforpostoperativereductionandanalysisofrespiratoryinfectionrelatedfactorsofpelvicfracturesbyctimaging AT jichongying optimizedbackprojectionfiltrationalgorithmforpostoperativereductionandanalysisofrespiratoryinfectionrelatedfactorsofpelvicfracturesbyctimaging
_version_	1718418383798534144

Optimized Backprojection Filtration Algorithm for Postoperative Reduction and Analysis of Respiratory Infection-Related Factors of Pelvic Fractures by CT Imaging

Ejemplares similares