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A Novel Computed Tomography Image Reconstruction for Improving Visualization of Pulmonary Vasculature: Comparison Between Preprocessing and Postprocessing Images Using a Contrast Enhancement Boost Technique

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dc.contributor.author심학준-
dc.date.accessioned2023-03-21T07:29:53Z-
dc.date.available2023-03-21T07:29:53Z-
dc.date.issued2022-09-
dc.identifier.issn0363-8715-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/193404-
dc.description.abstractObjective: This study aimed to evaluate chest computed tomography (CT) angiography image quality using the contrast enhancement (CE)-boost technique compared with conventional images. Methods: Forty patients who underwent contrast-enhanced chest CT were included. Combined CT angiography images of the iodinated image obtained from the subtraction of nonenhanced CT images and CT angiography images were used to generate CE-boost images. Computed tomography attenuation, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for the right and left pulmonary arteries as the central and subsegmental arteries as peripheral vessels were assessed. Subjective image quality was rated on a 5-point scale by 2 radiologists. Image quality was assessed using a paired t test. Results: Computed tomography attenuation in the main pulmonary artery was significantly higher for the CE-boost images (311.05 ± 91.94) than for the conventional images (221.25 ± 61.21, P < 0.001). Similarly, the CE-boost images resulted in significantly higher CT attenuation in the subsegmental arteries (right, 305.34 ± 90.13; left, 313.05 ± 97.21) than in the conventional images (right, 218.45 ± 63.16; left, 223.89 ± 74.27). The CE-boost technique demonstrated marked improvement in the visualization of the peripheral pulmonary artery without the administration of a higher iodine delivery rate. The mean SNR and CNR were also significantly higher in the central and peripheral vessels in the CE-boost images than in the conventional images (P < 0.001). In the subjective analysis, the image contrast and vascular contrast edge were significantly higher for the CE-boost images than for conventional images (P < 0.001). Conclusions: The CE-boost technique increases not only the visualization of peripheral arteries by improving vascular attenuation but also the SNR and CNR.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherLippincott Williams & Wilkins-
dc.relation.isPartOfJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAngiography-
dc.subject.MESHContrast Media*-
dc.subject.MESHHumans-
dc.subject.MESHImage Processing, Computer-Assisted / methods-
dc.subject.MESHSignal-To-Noise Ratio-
dc.subject.MESHTomography, X-Ray Computed* / methods-
dc.titleA Novel Computed Tomography Image Reconstruction for Improving Visualization of Pulmonary Vasculature: Comparison Between Preprocessing and Postprocessing Images Using a Contrast Enhancement Boost Technique-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentYonsei Biomedical Research Center (연세의생명연구원)-
dc.contributor.googleauthorChuluunbaatar Otgonbaatar-
dc.contributor.googleauthorJae-Kyun Ryu-
dc.contributor.googleauthorHackjoon Shim-
dc.contributor.googleauthorPil-Hyun Jeon-
dc.contributor.googleauthorSang-Hyun Jeon-
dc.contributor.googleauthorJin Woo Kim-
dc.contributor.googleauthorSung Min Ko-
dc.contributor.googleauthorHyunjung Kim-
dc.identifier.doi10.1097/RCT.0000000000001347-
dc.contributor.localIdA02215-
dc.relation.journalcodeJ01350-
dc.identifier.eissn1532-3145-
dc.identifier.pmid36103677-
dc.identifier.urlhttps://journals.lww.com/jcat/Fulltext/2022/09000/A_Novel_Computed_Tomography_Image_Reconstruction.10.aspx-
dc.contributor.alternativeNameShim, Hack Joon-
dc.contributor.affiliatedAuthor심학준-
dc.citation.volume46-
dc.citation.number5-
dc.citation.startPage729-
dc.citation.endPage734-
dc.identifier.bibliographicCitationJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, Vol.46(5) : 729-734, 2022-09-
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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