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...
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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 |
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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 & 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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>Health & 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> |
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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 |
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