Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry

In this study, we present a quantitative method to evaluate the motion artifact correction (MAC) technique through the morphological analysis of blood vessels in the images before and after MAC. Cone-beam computed tomography (CBCT) scans of 37 patients who underwent transcatheter chemoembolization w...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of clinical medicine 2024-04, Vol.13 (8), p.2253
Hauptverfasser: Jung, Yunsub, Lee, Ho, Jun, Hoyong, Cho, Soobuem
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 8
container_start_page 2253
container_title Journal of clinical medicine
container_volume 13
creator Jung, Yunsub
Lee, Ho
Jun, Hoyong
Cho, Soobuem
description In this study, we present a quantitative method to evaluate the motion artifact correction (MAC) technique through the morphological analysis of blood vessels in the images before and after MAC. Cone-beam computed tomography (CBCT) scans of 37 patients who underwent transcatheter chemoembolization were obtained, and images were reconstructed with and without the MAC technique. First, two interventional radiologists selected the blood vessels corrected by MAC. We devised a motion-corrected index (MCI) metric that analyzed the morphology of blood vessels in 3D space using information on the centerline of blood vessels, and the blood vessels selected by the interventional radiologists were quantitatively evaluated using MCI. In addition, these blood vessels were qualitatively evaluated by two interventional radiologists. To validate the effectiveness of the devised MCI, we compared the MCI values in a blood vessel corrected by MAC and one non-corrected by MAC. The visual evaluation revealed that motion correction was found in the images of 23 of 37 patients (62.2%), and a performance evaluation of MAC was performed with 54 blood vessels in 23 patients. The visual grading analysis score was 1.56 ± 0.57 (radiologist 1) and 1.56 ± 0.63 (radiologist 2), and the proposed MCI was 0.67 ± 0.11, indicating that the vascular morphology was well corrected by the MAC. We verified that our proposed method is useful for evaluating the MAC technique of CBCT, and the MAC technique can correct the blood vessels distorted by the patient's movement and respiration.
doi_str_mv 10.3390/jcm13082253
format Article
fullrecord <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_miscellaneous_3047949799</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A793559499</galeid><sourcerecordid>A793559499</sourcerecordid><originalsourceid>FETCH-LOGICAL-c379t-ee67d9bdd25b1591ae9622a9862b9ad140577453637ba27eeb584f9126d0145d3</originalsourceid><addsrcrecordid>eNptkc1rFTEUxYMottSu3EvAjSBT8zFJJsvXR20LFTdPt0MmufOax2TyTGYKD_zjzfRDq5gscrj53cNNDkJvKTnjXJNPOxsoJw1jgr9Ax4woVRHe8JfP9BE6zXlHymqamlH1Gh3xRioumDxGPy_uzDCbyccRxx5_ifdqlSbfGzvhdUwJ7H1tA_Z29D9mwH1M5WKE6hxMKCrs5wkc3sQQt8nsbw_4OpgtLEz2DpIft_h8iNHh75AzDPgSYoApHd6gV70ZMpw-nifo2-eLzfqquvl6eb1e3VSWKz1VAFI53TnHREeFpga0ZMzoRrJOG0drIpSqBZdcdYYpgE40da8pk47QWjh-gj48-O5TLA_IUxt8tjAMZoQ455aTWulaK60L-v4fdBfnNJbpFkpqqojkf6itGaD1Yx-nZOxi2q6U5kIUt8Xr7D9U2Q6Ct-UDe1_qfzV8fGiwKeacoG_3yQeTDi0l7RJ3-yzuQr97HHXuArjf7FO4_BcZfKOF</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3046917063</pqid></control><display><type>article</type><title>Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>PubMed Central</source><creator>Jung, Yunsub ; Lee, Ho ; Jun, Hoyong ; Cho, Soobuem</creator><creatorcontrib>Jung, Yunsub ; Lee, Ho ; Jun, Hoyong ; Cho, Soobuem</creatorcontrib><description>In this study, we present a quantitative method to evaluate the motion artifact correction (MAC) technique through the morphological analysis of blood vessels in the images before and after MAC. Cone-beam computed tomography (CBCT) scans of 37 patients who underwent transcatheter chemoembolization were obtained, and images were reconstructed with and without the MAC technique. First, two interventional radiologists selected the blood vessels corrected by MAC. We devised a motion-corrected index (MCI) metric that analyzed the morphology of blood vessels in 3D space using information on the centerline of blood vessels, and the blood vessels selected by the interventional radiologists were quantitatively evaluated using MCI. In addition, these blood vessels were qualitatively evaluated by two interventional radiologists. To validate the effectiveness of the devised MCI, we compared the MCI values in a blood vessel corrected by MAC and one non-corrected by MAC. The visual evaluation revealed that motion correction was found in the images of 23 of 37 patients (62.2%), and a performance evaluation of MAC was performed with 54 blood vessels in 23 patients. The visual grading analysis score was 1.56 ± 0.57 (radiologist 1) and 1.56 ± 0.63 (radiologist 2), and the proposed MCI was 0.67 ± 0.11, indicating that the vascular morphology was well corrected by the MAC. We verified that our proposed method is useful for evaluating the MAC technique of CBCT, and the MAC technique can correct the blood vessels distorted by the patient's movement and respiration.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm13082253</identifier><identifier>PMID: 38673526</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Blood vessels ; Contrast agents ; Coronary vessels ; CT imaging ; Image processing ; Medical examination ; Methods ; Morphology ; Patients ; Respiration ; Tomography ; Veins &amp; arteries</subject><ispartof>Journal of clinical medicine, 2024-04, Vol.13 (8), p.2253</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c379t-ee67d9bdd25b1591ae9622a9862b9ad140577453637ba27eeb584f9126d0145d3</cites><orcidid>0000-0002-2628-3542 ; 0000-0002-0863-2913 ; 0000-0001-5773-6893 ; 0000-0001-5762-7064</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38673526$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jung, Yunsub</creatorcontrib><creatorcontrib>Lee, Ho</creatorcontrib><creatorcontrib>Jun, Hoyong</creatorcontrib><creatorcontrib>Cho, Soobuem</creatorcontrib><title>Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>In this study, we present a quantitative method to evaluate the motion artifact correction (MAC) technique through the morphological analysis of blood vessels in the images before and after MAC. Cone-beam computed tomography (CBCT) scans of 37 patients who underwent transcatheter chemoembolization were obtained, and images were reconstructed with and without the MAC technique. First, two interventional radiologists selected the blood vessels corrected by MAC. We devised a motion-corrected index (MCI) metric that analyzed the morphology of blood vessels in 3D space using information on the centerline of blood vessels, and the blood vessels selected by the interventional radiologists were quantitatively evaluated using MCI. In addition, these blood vessels were qualitatively evaluated by two interventional radiologists. To validate the effectiveness of the devised MCI, we compared the MCI values in a blood vessel corrected by MAC and one non-corrected by MAC. The visual evaluation revealed that motion correction was found in the images of 23 of 37 patients (62.2%), and a performance evaluation of MAC was performed with 54 blood vessels in 23 patients. The visual grading analysis score was 1.56 ± 0.57 (radiologist 1) and 1.56 ± 0.63 (radiologist 2), and the proposed MCI was 0.67 ± 0.11, indicating that the vascular morphology was well corrected by the MAC. We verified that our proposed method is useful for evaluating the MAC technique of CBCT, and the MAC technique can correct the blood vessels distorted by the patient's movement and respiration.</description><subject>Blood vessels</subject><subject>Contrast agents</subject><subject>Coronary vessels</subject><subject>CT imaging</subject><subject>Image processing</subject><subject>Medical examination</subject><subject>Methods</subject><subject>Morphology</subject><subject>Patients</subject><subject>Respiration</subject><subject>Tomography</subject><subject>Veins &amp; arteries</subject><issn>2077-0383</issn><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNptkc1rFTEUxYMottSu3EvAjSBT8zFJJsvXR20LFTdPt0MmufOax2TyTGYKD_zjzfRDq5gscrj53cNNDkJvKTnjXJNPOxsoJw1jgr9Ax4woVRHe8JfP9BE6zXlHymqamlH1Gh3xRioumDxGPy_uzDCbyccRxx5_ifdqlSbfGzvhdUwJ7H1tA_Z29D9mwH1M5WKE6hxMKCrs5wkc3sQQt8nsbw_4OpgtLEz2DpIft_h8iNHh75AzDPgSYoApHd6gV70ZMpw-nifo2-eLzfqquvl6eb1e3VSWKz1VAFI53TnHREeFpga0ZMzoRrJOG0drIpSqBZdcdYYpgE40da8pk47QWjh-gj48-O5TLA_IUxt8tjAMZoQ455aTWulaK60L-v4fdBfnNJbpFkpqqojkf6itGaD1Yx-nZOxi2q6U5kIUt8Xr7D9U2Q6Ct-UDe1_qfzV8fGiwKeacoG_3yQeTDi0l7RJ3-yzuQr97HHXuArjf7FO4_BcZfKOF</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Jung, Yunsub</creator><creator>Lee, Ho</creator><creator>Jun, Hoyong</creator><creator>Cho, Soobuem</creator><general>MDPI AG</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2628-3542</orcidid><orcidid>https://orcid.org/0000-0002-0863-2913</orcidid><orcidid>https://orcid.org/0000-0001-5773-6893</orcidid><orcidid>https://orcid.org/0000-0001-5762-7064</orcidid></search><sort><creationdate>20240401</creationdate><title>Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry</title><author>Jung, Yunsub ; Lee, Ho ; Jun, Hoyong ; Cho, Soobuem</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c379t-ee67d9bdd25b1591ae9622a9862b9ad140577453637ba27eeb584f9126d0145d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Blood vessels</topic><topic>Contrast agents</topic><topic>Coronary vessels</topic><topic>CT imaging</topic><topic>Image processing</topic><topic>Medical examination</topic><topic>Methods</topic><topic>Morphology</topic><topic>Patients</topic><topic>Respiration</topic><topic>Tomography</topic><topic>Veins &amp; arteries</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jung, Yunsub</creatorcontrib><creatorcontrib>Lee, Ho</creatorcontrib><creatorcontrib>Jun, Hoyong</creatorcontrib><creatorcontrib>Cho, Soobuem</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jung, Yunsub</au><au>Lee, Ho</au><au>Jun, Hoyong</au><au>Cho, Soobuem</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry</atitle><jtitle>Journal of clinical medicine</jtitle><addtitle>J Clin Med</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>13</volume><issue>8</issue><spage>2253</spage><pages>2253-</pages><issn>2077-0383</issn><eissn>2077-0383</eissn><abstract>In this study, we present a quantitative method to evaluate the motion artifact correction (MAC) technique through the morphological analysis of blood vessels in the images before and after MAC. Cone-beam computed tomography (CBCT) scans of 37 patients who underwent transcatheter chemoembolization were obtained, and images were reconstructed with and without the MAC technique. First, two interventional radiologists selected the blood vessels corrected by MAC. We devised a motion-corrected index (MCI) metric that analyzed the morphology of blood vessels in 3D space using information on the centerline of blood vessels, and the blood vessels selected by the interventional radiologists were quantitatively evaluated using MCI. In addition, these blood vessels were qualitatively evaluated by two interventional radiologists. To validate the effectiveness of the devised MCI, we compared the MCI values in a blood vessel corrected by MAC and one non-corrected by MAC. The visual evaluation revealed that motion correction was found in the images of 23 of 37 patients (62.2%), and a performance evaluation of MAC was performed with 54 blood vessels in 23 patients. The visual grading analysis score was 1.56 ± 0.57 (radiologist 1) and 1.56 ± 0.63 (radiologist 2), and the proposed MCI was 0.67 ± 0.11, indicating that the vascular morphology was well corrected by the MAC. We verified that our proposed method is useful for evaluating the MAC technique of CBCT, and the MAC technique can correct the blood vessels distorted by the patient's movement and respiration.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38673526</pmid><doi>10.3390/jcm13082253</doi><orcidid>https://orcid.org/0000-0002-2628-3542</orcidid><orcidid>https://orcid.org/0000-0002-0863-2913</orcidid><orcidid>https://orcid.org/0000-0001-5773-6893</orcidid><orcidid>https://orcid.org/0000-0001-5762-7064</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2077-0383
ispartof Journal of clinical medicine, 2024-04, Vol.13 (8), p.2253
issn 2077-0383
2077-0383
language eng
recordid cdi_proquest_miscellaneous_3047949799
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central
subjects Blood vessels
Contrast agents
Coronary vessels
CT imaging
Image processing
Medical examination
Methods
Morphology
Patients
Respiration
Tomography
Veins & arteries
title Evaluation of Motion Artifact Correction Technique for Cone-Beam Computed Tomography Image Considering Blood Vessel Geometry
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T18%3A20%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluation%20of%20Motion%20Artifact%20Correction%20Technique%20for%20Cone-Beam%20Computed%20Tomography%20Image%20Considering%20Blood%20Vessel%20Geometry&rft.jtitle=Journal%20of%20clinical%20medicine&rft.au=Jung,%20Yunsub&rft.date=2024-04-01&rft.volume=13&rft.issue=8&rft.spage=2253&rft.pages=2253-&rft.issn=2077-0383&rft.eissn=2077-0383&rft_id=info:doi/10.3390/jcm13082253&rft_dat=%3Cgale_proqu%3EA793559499%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3046917063&rft_id=info:pmid/38673526&rft_galeid=A793559499&rfr_iscdi=true