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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.authorOtgonbaatar, Chuluunbaatar-
dc.contributor.authorRyu, Jue-Kyun-
dc.contributor.authorShim , Hack Joon-
dc.contributor.authorJeon, Pil-Hyun-
dc.contributor.authorJeon, Sang-Hyun-
dc.contributor.authorKim, Jin Woo-
dc.contributor.authorKo, Sung Min-
dc.contributor.authorKim, Hyunjung-
dc.date.accessioned2023-03-21T07:29:53Z-
dc.date.available2023-03-21T07:29:53Z-
dc.date.created2023-01-19-
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.relation.isPartOfJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY-
dc.rightsCC BY-NC-ND 2.0 KR-
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.googleauthorOtgonbaatar, Chuluunbaatar-
dc.contributor.googleauthorRyu, Jue-Kyun-
dc.contributor.googleauthorShim , Hack Joon-
dc.contributor.googleauthorJeon, Pil-Hyun-
dc.contributor.googleauthorJeon, Sang-Hyun-
dc.contributor.googleauthorKim, Jin Woo-
dc.contributor.googleauthorKo, Sung Min-
dc.contributor.googleauthorKim, Hyunjung-
dc.identifier.doi10.1097/RCT.0000000000001347-
dc.relation.journalcodeJ01350-
dc.identifier.eissn1532-3145-
dc.identifier.pmid36103677-
dc.subject.keywordpulmonary embolism-
dc.subject.keywordimage reconstruction-
dc.subject.keywordmultidetector computed tomography-
dc.subject.keywordimage quality enhancement-
dc.contributor.alternativeNameShim, Hack Joon-
dc.contributor.affiliatedAuthorShim , Hack Joon-
dc.identifier.scopusid2-s2.0-85138447308-
dc.identifier.wosid000853549200010-
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-
dc.identifier.rimsid77006-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorpulmonary embolism-
dc.subject.keywordAuthorimage reconstruction-
dc.subject.keywordAuthormultidetector computed tomography-
dc.subject.keywordAuthorimage quality enhancement-
dc.subject.keywordPlusCT ANGIOGRAPHY-
dc.subject.keywordPlusITERATIVE RECONSTRUCTION-
dc.subject.keywordPlusEMBOLISM-
dc.subject.keywordPlusRISK-
dc.subject.keywordPlusPROTOCOL-
dc.subject.keywordPlusARTERY-
dc.subject.keywordPlusMEDIA-
dc.subject.keywordPlusRATES-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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