{"title":"金属伪影还原与迭代重建方法自适应统计V在金属伪影图像还原中的应用","authors":"Iqmaludin Iqmaludin","doi":"10.58860/ijsh.v2i9.103","DOIUrl":null,"url":null,"abstract":"CT scan images with metal artefacts may reduce the image quality and diagnosis of CT scan images. Metal Artefact Reduction (MAR) can effectively reduce artifacts caused by metal implants. ASIR-V plays a role in reducing noise and improving image quality. To prove the reduction of metal image artefacts and optimization of CT scan image quality after the application of MAR and ASIR-V (30,60,90) of Head and Neck CT Scan by finding the value of SNR, CNR, anatomical information and the level of metal artefact interference after metal artefact reduction. Quasi-type experimental research design with pre-post test only without control group design. The study sample was 15 CT scan images of head and neck with purposive sampling. SNR and CNR measurements were quantitatively analyzed using the Wilk test, followed by the Wilcoxon test. Anatomical information assessment was performed qualitatively by two radiologists and analyzed by kappa test. Anatomical information and the level of metal artefact interference with CT scan images were carried out by the Friedman test, followed by the Wilcoxon test. There is a difference in SNR Pvalue (p=0.000<0.05), CNR Pvalue (p=0.000>0.05), anatomical information Pvalue (p=0.000<0.05), level of metal artefacts Pvalue (p=0.000<0.05) after using MAR and ASIR V. The use of MAR and ASIR-V methods can reduce metal artefacts in images that contain artefacts with the use of MAR + ASIR-V 90% the most optimal.","PeriodicalId":44967,"journal":{"name":"International Journal of Migration Health and Social Care","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Metal Artefact Reduction and Iterative Reconstruction Method Adaptive Statistics V In Reducing Metal Artefact Images\",\"authors\":\"Iqmaludin Iqmaludin\",\"doi\":\"10.58860/ijsh.v2i9.103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CT scan images with metal artefacts may reduce the image quality and diagnosis of CT scan images. Metal Artefact Reduction (MAR) can effectively reduce artifacts caused by metal implants. ASIR-V plays a role in reducing noise and improving image quality. To prove the reduction of metal image artefacts and optimization of CT scan image quality after the application of MAR and ASIR-V (30,60,90) of Head and Neck CT Scan by finding the value of SNR, CNR, anatomical information and the level of metal artefact interference after metal artefact reduction. Quasi-type experimental research design with pre-post test only without control group design. The study sample was 15 CT scan images of head and neck with purposive sampling. SNR and CNR measurements were quantitatively analyzed using the Wilk test, followed by the Wilcoxon test. Anatomical information assessment was performed qualitatively by two radiologists and analyzed by kappa test. Anatomical information and the level of metal artefact interference with CT scan images were carried out by the Friedman test, followed by the Wilcoxon test. There is a difference in SNR Pvalue (p=0.000<0.05), CNR Pvalue (p=0.000>0.05), anatomical information Pvalue (p=0.000<0.05), level of metal artefacts Pvalue (p=0.000<0.05) after using MAR and ASIR V. The use of MAR and ASIR-V methods can reduce metal artefacts in images that contain artefacts with the use of MAR + ASIR-V 90% the most optimal.\",\"PeriodicalId\":44967,\"journal\":{\"name\":\"International Journal of Migration Health and Social Care\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Migration Health and Social Care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.58860/ijsh.v2i9.103\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Migration Health and Social Care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.58860/ijsh.v2i9.103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
摘要
带有金属伪影的CT扫描图像可能会降低CT扫描图像的质量和诊断。金属伪影复位(MAR)可以有效地减少金属植入物引起的伪影。ASIR-V在降低噪声和提高图像质量方面发挥作用。通过寻找金属伪影降低后的信噪比、CNR值、解剖信息值和金属伪影干扰程度,证明应用头颈部CT扫描的MAR和ASIR-V(30,60,90)后金属图像伪影的降低和CT扫描图像质量的优化。只进行前后测试的准实验研究设计,不进行对照组设计。研究样本为15张头颈部CT扫描图像,目的采样。采用Wilk检验和Wilcoxon检验对SNR和CNR测量结果进行定量分析。两名放射科医师对解剖信息进行定性评估,并采用卡帕检验进行分析。解剖信息和金属伪影对CT扫描图像的干扰程度采用Friedman检验,随后采用Wilcoxon检验。使用MAR和ASIR v后,在SNR p值(p=0.000<0.05)、CNR p值(p=0.000<0.05)、解剖信息p值(p=0.000<0.05)、金属伪影水平p值(p=0.000<0.05)方面存在差异。使用MAR和ASIR- v方法可以减少含有伪影的图像中的金属伪影,其中使用MAR + ASIR- v 90%效果最佳。
Metal Artefact Reduction and Iterative Reconstruction Method Adaptive Statistics V In Reducing Metal Artefact Images
CT scan images with metal artefacts may reduce the image quality and diagnosis of CT scan images. Metal Artefact Reduction (MAR) can effectively reduce artifacts caused by metal implants. ASIR-V plays a role in reducing noise and improving image quality. To prove the reduction of metal image artefacts and optimization of CT scan image quality after the application of MAR and ASIR-V (30,60,90) of Head and Neck CT Scan by finding the value of SNR, CNR, anatomical information and the level of metal artefact interference after metal artefact reduction. Quasi-type experimental research design with pre-post test only without control group design. The study sample was 15 CT scan images of head and neck with purposive sampling. SNR and CNR measurements were quantitatively analyzed using the Wilk test, followed by the Wilcoxon test. Anatomical information assessment was performed qualitatively by two radiologists and analyzed by kappa test. Anatomical information and the level of metal artefact interference with CT scan images were carried out by the Friedman test, followed by the Wilcoxon test. There is a difference in SNR Pvalue (p=0.000<0.05), CNR Pvalue (p=0.000>0.05), anatomical information Pvalue (p=0.000<0.05), level of metal artefacts Pvalue (p=0.000<0.05) after using MAR and ASIR V. The use of MAR and ASIR-V methods can reduce metal artefacts in images that contain artefacts with the use of MAR + ASIR-V 90% the most optimal.