Application of 1 024×1 024 Reconstruction Matrix Combined with Iterative Reconstruction Algorithm in Gastric CT Angiography
10.3969/j.issn.1005-5185.2024.06.019
- VernacularTitle:1024×1024重建矩阵结合迭代重建算法在胃部CT血管成像中的应用
- Author:
Xiaoyu TONG
1
;
Beibei LI
;
Xu WANG
;
Anliang CHEN
;
Ailian LIU
;
Yijun LIU
Author Information
1. 大连医科大学附属第一医院放射科,辽宁 大连 116011
- Keywords:
Stomach neoplasms;
Gastric artery;
Reconstruction matrix;
Iterative reconstruction algorithm;
Tomography,X-ray computed
- From:
Chinese Journal of Medical Imaging
2024;32(6):622-627
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To explore the application value of 1 024×1 024 reconstruction matrix combined with iterative reconstruction algorithm(Karl)in computed tomography angiography(CTA)of gastric vessels and tumor-supplying arteries.Materials and Methods Thirty patients with gastric tumors who underwent clinical gastric CTA from March to June 2022 at the First Affiliated Hospital of Dalian Medical University were prospectively collected.The original data of CT scan images were grouped and reconstructed.Group A used the conventional 512×512 matrix combined with Karl-5 reconstruction;group B used 1 024×1 024 large reconstruction matrix combined with different levels of Karl algorithm reconstruction,obtaining three subgroups:B1(Karl 5),B2(Karl 7)and B3(Karl 9).The CT and SD values of abdominal aorta at the origin of the left gastric artery,celiac trunk,splenic artery,hepatic artery and the subcutaneous fat tissue of the abdominal wall were measured,and the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.The image quality of each group was assessed by two observers using a 5-point scale.Results The two observers had good consistency in the evaluation of image quality(Kappa=0.782-0.789,P<0.05).Subjective scores for groups B1 to B3 were all better than those for group A,with the highest score in group B2(two-dimensional scores:χ2=27.309,24.250;three-dimensional scores:χ2=21.964,21.294;all P<0.05).The gastric artery system was involved in tumor blood supply in 25 cases of 30 gastric tumors,with the clarity rate of each vessel in group B2 being superior to group A.There were no statistically significant differences in CT values of vessels between groups A,B1 and B2(t=-1.918-2.720,P>0.05),and apart from the SD of the abdominal aorta and CNR of the hepatic artery,differences in SD values,SNR,CNR,and background noise between group B2 and group A were not significant(t=-5.909-5.768,P>0.05);images from B1 to B3 showed a gradual decrease in SD values(F=2.881-27.109,P<0.05)and a gradual increase in SNR and CNR(F=3.612-12.149,P<0.05)as the level of Karl algorithm increased.Conclusion 1 024×1 024 reconstruction matrix combined with Karl-7 can improve the image quality and enhance the display effect of gastric microvessels and tumor-supplying artery branches,which have good clinical application value.
