Artificial intelligence iterative reconstruction for abdominal and pelvic CT examination after total hip arthroplasty
10.13929/j.issn.1003-3289.2025.04.010
- VernacularTitle:深度学习全模型迭代算法用于髋关节置换术后腹盆腔CT检查
- Author:
Yongzhi HU
1
;
Binbin WANG
;
Yaxin ZHU
;
Pengfei WU
;
Da CAO
;
Yuxia TANG
;
Chuanbing WANG
;
Weiding CUI
;
Shouju WANG
Author Information
1. 南京医科大学第一附属医院放射科,江苏 南京 210029
- Publication Type:Journal Article
- Keywords:
tomography,X-ray computed;
arthroplasty,replacement;
artificial intelligence
- From:
Chinese Journal of Medical Imaging Technology
2025;41(4):553-556
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of artificial intelligence iterative reconstruction(AIIR)for abdominal and pelvic CT examination after total hip arthroplasty(THA).Methods Totally 64 patients after THA who underwent abdominal and pelvic CT examinations were retrospectively collected,including 31 patients received routine CT scanning and 33 patients received dual-energy CT scanning.AIIR and hybrid iterative reconstruction(HIR)algorithms were used to obtain AIIR and HIR images based on conventional CT images,respectively,while 70-140 keV(interval of 5 keV)virtual monoenergetic images(VMI)were reconstructed based on dual-energy CT images.VMI with the best comprehensive imaging qualities were selected for analysis.Subjective scores and objective evaluation results of imaging quality were compared among different kinds of images.Results The subjective scores of artifacts,bones,diagnostic confidence,as well as displaying of pelvic organs and blood vessels on both AIIR images and VMI were all higher than those of HIR images(all P＜0.001),while no significant difference was found between AIIR images and VMI(all P＞0.017).Pairwise comparison of high-density artifact fraction and skeletal artifact fraction on AIIR,HIR images and VMI showed significant differences(all P＜0.001).No significant difference of low density artifact fraction nor high density noise fraction was detected between AIIR image and VMI(both P＞0.017),and the objective evaluation results were different from those of HIR images(both P＜0.017).The low density noise fraction of AIIR images was lower than that of HIR images(P＜0.017),while no significant difference was found between AIIR or HIR images and VMI(both P＞0.017).The bone noise fraction of AIIR and HIR images were both higher than that of VMI(both P＜0.017),while no significant difference was found between these two kinds of images(P＞0.017).Conclusion AIIR could reduce artifacts and image noise of abdominal and pelvic CT examination after THA and improve imaging quality.
