Comparison of four MR carotid surface coils at 3T
The quality of carotid wall MRI can benefit substantially from a dedicated RF coil that is tailored towards the human neck geometry and optimized for image signal-to-noise ratio (SNR), parallel imaging performance and RF penetration depth and coverage. In last decades, several of such dedicated caro...
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description | The quality of carotid wall MRI can benefit substantially from a dedicated RF coil that is tailored towards the human neck geometry and optimized for image signal-to-noise ratio (SNR), parallel imaging performance and RF penetration depth and coverage. In last decades, several of such dedicated carotid coils were introduced. However, a comparison of the more successful designs is still lacking.
To perform a head-to-head comparison over four dedicated MR carotid surface coils with 4, 6, 8 and 30 coil elements, respectively.
Ten volunteers were scanned on a 3T scanner. For each subject, multiple black-blood carotid vessel wall images were measured using the four coils with different parallel imaging settings. The performance of the coils was evaluated and compared in terms of image coverage, penetration depth and noise correlations between elements. Vessel wall of a common carotid section was delineated manually. Subsequently, images were assessed based on vessel wall morphology and image quality parameters. The morphological parameters consisted of the vessel wall area, thickness, and normalized wall index (wall area/total vessel area). Image quality parameters consisted of vessel wall SNR, wall-lumen contrast-to-noise ratio (CNR), the vessel g-factor, and CNRindex ((wall-lumen signal) / (wall+lumen signal)). Repeated measures analysis of variance (rmANOVA) was applied for each parameter for the averaged 10 slices for all volunteers to assess effect of coil and SENSE factor. If the rmANOVA was significant, post-hoc comparisons were conducted.
No significant coil effect were found for vessel wall morphological parameters. SENSE acceleration affected some morphological parameters for 6- and 8-channel coils, but had no effect on the 30-channel coil. The 30-channel coil achieved high acceleration factors (10x) with significantly lower vessel g-factor values (ps ≤ 0.01), but lower vessel wall SNR and CNR values (ps ≤ 0.01).
All four coils were capable of high-quality carotid MRI. The 30-channel coil is recommended when rapid image acquisition acceleration is required for 3D measurements, whereas 6- and 8-channel coils demonstrated the highest SNR performance. |
doi_str_mv | 10.1371/journal.pone.0213107 |
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To perform a head-to-head comparison over four dedicated MR carotid surface coils with 4, 6, 8 and 30 coil elements, respectively.
Ten volunteers were scanned on a 3T scanner. For each subject, multiple black-blood carotid vessel wall images were measured using the four coils with different parallel imaging settings. The performance of the coils was evaluated and compared in terms of image coverage, penetration depth and noise correlations between elements. Vessel wall of a common carotid section was delineated manually. Subsequently, images were assessed based on vessel wall morphology and image quality parameters. The morphological parameters consisted of the vessel wall area, thickness, and normalized wall index (wall area/total vessel area). Image quality parameters consisted of vessel wall SNR, wall-lumen contrast-to-noise ratio (CNR), the vessel g-factor, and CNRindex ((wall-lumen signal) / (wall+lumen signal)). Repeated measures analysis of variance (rmANOVA) was applied for each parameter for the averaged 10 slices for all volunteers to assess effect of coil and SENSE factor. If the rmANOVA was significant, post-hoc comparisons were conducted.
No significant coil effect were found for vessel wall morphological parameters. SENSE acceleration affected some morphological parameters for 6- and 8-channel coils, but had no effect on the 30-channel coil. The 30-channel coil achieved high acceleration factors (10x) with significantly lower vessel g-factor values (ps ≤ 0.01), but lower vessel wall SNR and CNR values (ps ≤ 0.01).
All four coils were capable of high-quality carotid MRI. The 30-channel coil is recommended when rapid image acquisition acceleration is required for 3D measurements, whereas 6- and 8-channel coils demonstrated the highest SNR performance.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0213107</identifier><identifier>PMID: 30830934</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Algorithms ; Analysis ; Biology and Life Sciences ; Biomedical engineering ; Carotid arteries ; Carotid Arteries - anatomy & histology ; Carotid Arteries - diagnostic imaging ; Comparative analysis ; Diagnostic imaging ; Engineering and Technology ; Female ; Head ; Health aspects ; Healthy Volunteers ; High acceleration ; Humans ; Image acquisition ; Image contrast ; Image quality ; Magnetic resonance imaging ; Magnetic Resonance Imaging - instrumentation ; Male ; Mathematical morphology ; Medical imaging ; Medical research ; Medicine and Health Sciences ; Neck ; NMR ; Noise ; Nuclear magnetic resonance ; Nuclear medicine ; Parameter estimation ; Parameters ; Penetration depth ; Phantoms, Imaging ; Physical Sciences ; Radiographic Image Enhancement - methods ; Research and Analysis Methods ; Signal to noise ratio ; Variance analysis ; Veins & arteries ; Young Adult</subject><ispartof>PloS one, 2019-03, Vol.14 (3), p.e0213107-e0213107</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Zhang et al 2019 Zhang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-d7a5310a182672bbbf34ec351a3447a12021e2a5107e65386f6e927a718746db3</citedby><cites>FETCH-LOGICAL-c692t-d7a5310a182672bbbf34ec351a3447a12021e2a5107e65386f6e927a718746db3</cites><orcidid>0000-0002-1777-8164</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398924/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6398924/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79343,79344</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30830934$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Qinwei</creatorcontrib><creatorcontrib>Coolen, Bram F</creatorcontrib><creatorcontrib>van den Berg, Sandra</creatorcontrib><creatorcontrib>Kotek, Gyula</creatorcontrib><creatorcontrib>Rivera, Debra S</creatorcontrib><creatorcontrib>Klomp, Dennis W J</creatorcontrib><creatorcontrib>Strijkers, Gustav J</creatorcontrib><creatorcontrib>Nederveen, Aart J</creatorcontrib><title>Comparison of four MR carotid surface coils at 3T</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The quality of carotid wall MRI can benefit substantially from a dedicated RF coil that is tailored towards the human neck geometry and optimized for image signal-to-noise ratio (SNR), parallel imaging performance and RF penetration depth and coverage. In last decades, several of such dedicated carotid coils were introduced. However, a comparison of the more successful designs is still lacking.
To perform a head-to-head comparison over four dedicated MR carotid surface coils with 4, 6, 8 and 30 coil elements, respectively.
Ten volunteers were scanned on a 3T scanner. For each subject, multiple black-blood carotid vessel wall images were measured using the four coils with different parallel imaging settings. The performance of the coils was evaluated and compared in terms of image coverage, penetration depth and noise correlations between elements. Vessel wall of a common carotid section was delineated manually. Subsequently, images were assessed based on vessel wall morphology and image quality parameters. The morphological parameters consisted of the vessel wall area, thickness, and normalized wall index (wall area/total vessel area). Image quality parameters consisted of vessel wall SNR, wall-lumen contrast-to-noise ratio (CNR), the vessel g-factor, and CNRindex ((wall-lumen signal) / (wall+lumen signal)). Repeated measures analysis of variance (rmANOVA) was applied for each parameter for the averaged 10 slices for all volunteers to assess effect of coil and SENSE factor. If the rmANOVA was significant, post-hoc comparisons were conducted.
No significant coil effect were found for vessel wall morphological parameters. SENSE acceleration affected some morphological parameters for 6- and 8-channel coils, but had no effect on the 30-channel coil. The 30-channel coil achieved high acceleration factors (10x) with significantly lower vessel g-factor values (ps ≤ 0.01), but lower vessel wall SNR and CNR values (ps ≤ 0.01).
All four coils were capable of high-quality carotid MRI. The 30-channel coil is recommended when rapid image acquisition acceleration is required for 3D measurements, whereas 6- and 8-channel coils demonstrated the highest SNR performance.</description><subject>Adult</subject><subject>Algorithms</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biomedical engineering</subject><subject>Carotid arteries</subject><subject>Carotid Arteries - anatomy & histology</subject><subject>Carotid Arteries - diagnostic imaging</subject><subject>Comparative analysis</subject><subject>Diagnostic imaging</subject><subject>Engineering and Technology</subject><subject>Female</subject><subject>Head</subject><subject>Health aspects</subject><subject>Healthy Volunteers</subject><subject>High acceleration</subject><subject>Humans</subject><subject>Image acquisition</subject><subject>Image contrast</subject><subject>Image quality</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - instrumentation</subject><subject>Male</subject><subject>Mathematical morphology</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Neck</subject><subject>NMR</subject><subject>Noise</subject><subject>Nuclear magnetic resonance</subject><subject>Nuclear medicine</subject><subject>Parameter estimation</subject><subject>Parameters</subject><subject>Penetration depth</subject><subject>Phantoms, Imaging</subject><subject>Physical Sciences</subject><subject>Radiographic Image Enhancement - methods</subject><subject>Research and Analysis Methods</subject><subject>Signal to noise ratio</subject><subject>Variance analysis</subject><subject>Veins & arteries</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1v0zAUhiMEYqPwDxBEQkJw0eJvxzdIU8VHpaFJY3BrnTh26ymNOztB8O9x12xq0C5QLhzZz3n9nuO3KF5itMBU4g_XYYgdtItd6OwCEUwxko-KU6womQuC6OOj_5PiWUrXCHFaCfG0OKGookhRdlrgZdjuIPoUujK40mXR8ttlaSCG3jdlGqIDY0sTfJtK6Et69bx44qBN9sW4zoofnz9dLb_Ozy--rJZn53MjFOnnjQSeLQGuiJCkrmtHmTWUY6CMScAkW7YEeHZtxd6XE1YRCRJXkommprPi9UF314akx26TJvlcUYokycTqQDQBrvUu-i3EPzqA17cbIa41xN6b1uqa1pUzzljDalZbrpiSxjhOBONc5DnNio_jbUO9tY2xXR-hnYhOTzq_0evwSwuqKkVYFng3CsRwM9jU661PxrYtdDYMt74rgriqeEbf_IM-3N1IrSE34DsX8r1mL6rPuBSKVVKgTC0eoPLX2K03ORrO5_1JwftJQWZ6-7tfw5CSXn2__H_24ueUfXvEbiy0_SaFduh96NIUZAfQxJBStO5-yBjpfbLvpqH3ydZjsnPZq-MHui-6izL9C2yu8AA</recordid><startdate>20190304</startdate><enddate>20190304</enddate><creator>Zhang, Qinwei</creator><creator>Coolen, Bram F</creator><creator>van den Berg, Sandra</creator><creator>Kotek, Gyula</creator><creator>Rivera, Debra S</creator><creator>Klomp, Dennis W J</creator><creator>Strijkers, Gustav J</creator><creator>Nederveen, Aart J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1777-8164</orcidid></search><sort><creationdate>20190304</creationdate><title>Comparison of four MR carotid surface coils at 3T</title><author>Zhang, Qinwei ; Coolen, Bram F ; van den Berg, Sandra ; Kotek, Gyula ; Rivera, Debra S ; Klomp, Dennis W J ; Strijkers, Gustav J ; Nederveen, Aart J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-d7a5310a182672bbbf34ec351a3447a12021e2a5107e65386f6e927a718746db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adult</topic><topic>Algorithms</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Biomedical engineering</topic><topic>Carotid arteries</topic><topic>Carotid Arteries - anatomy & histology</topic><topic>Carotid Arteries - diagnostic imaging</topic><topic>Comparative analysis</topic><topic>Diagnostic imaging</topic><topic>Engineering and Technology</topic><topic>Female</topic><topic>Head</topic><topic>Health aspects</topic><topic>Healthy Volunteers</topic><topic>High acceleration</topic><topic>Humans</topic><topic>Image acquisition</topic><topic>Image contrast</topic><topic>Image quality</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - instrumentation</topic><topic>Male</topic><topic>Mathematical morphology</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Neck</topic><topic>NMR</topic><topic>Noise</topic><topic>Nuclear magnetic resonance</topic><topic>Nuclear medicine</topic><topic>Parameter estimation</topic><topic>Parameters</topic><topic>Penetration depth</topic><topic>Phantoms, Imaging</topic><topic>Physical Sciences</topic><topic>Radiographic Image Enhancement - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Qinwei</au><au>Coolen, Bram F</au><au>van den Berg, Sandra</au><au>Kotek, Gyula</au><au>Rivera, Debra S</au><au>Klomp, Dennis W J</au><au>Strijkers, Gustav J</au><au>Nederveen, Aart J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of four MR carotid surface coils at 3T</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-03-04</date><risdate>2019</risdate><volume>14</volume><issue>3</issue><spage>e0213107</spage><epage>e0213107</epage><pages>e0213107-e0213107</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The quality of carotid wall MRI can benefit substantially from a dedicated RF coil that is tailored towards the human neck geometry and optimized for image signal-to-noise ratio (SNR), parallel imaging performance and RF penetration depth and coverage. In last decades, several of such dedicated carotid coils were introduced. However, a comparison of the more successful designs is still lacking.
To perform a head-to-head comparison over four dedicated MR carotid surface coils with 4, 6, 8 and 30 coil elements, respectively.
Ten volunteers were scanned on a 3T scanner. For each subject, multiple black-blood carotid vessel wall images were measured using the four coils with different parallel imaging settings. The performance of the coils was evaluated and compared in terms of image coverage, penetration depth and noise correlations between elements. Vessel wall of a common carotid section was delineated manually. Subsequently, images were assessed based on vessel wall morphology and image quality parameters. The morphological parameters consisted of the vessel wall area, thickness, and normalized wall index (wall area/total vessel area). Image quality parameters consisted of vessel wall SNR, wall-lumen contrast-to-noise ratio (CNR), the vessel g-factor, and CNRindex ((wall-lumen signal) / (wall+lumen signal)). Repeated measures analysis of variance (rmANOVA) was applied for each parameter for the averaged 10 slices for all volunteers to assess effect of coil and SENSE factor. If the rmANOVA was significant, post-hoc comparisons were conducted.
No significant coil effect were found for vessel wall morphological parameters. SENSE acceleration affected some morphological parameters for 6- and 8-channel coils, but had no effect on the 30-channel coil. The 30-channel coil achieved high acceleration factors (10x) with significantly lower vessel g-factor values (ps ≤ 0.01), but lower vessel wall SNR and CNR values (ps ≤ 0.01).
All four coils were capable of high-quality carotid MRI. The 30-channel coil is recommended when rapid image acquisition acceleration is required for 3D measurements, whereas 6- and 8-channel coils demonstrated the highest SNR performance.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30830934</pmid><doi>10.1371/journal.pone.0213107</doi><tpages>e0213107</tpages><orcidid>https://orcid.org/0000-0002-1777-8164</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Algorithms Analysis Biology and Life Sciences Biomedical engineering Carotid arteries Carotid Arteries - anatomy & histology Carotid Arteries - diagnostic imaging Comparative analysis Diagnostic imaging Engineering and Technology Female Head Health aspects Healthy Volunteers High acceleration Humans Image acquisition Image contrast Image quality Magnetic resonance imaging Magnetic Resonance Imaging - instrumentation Male Mathematical morphology Medical imaging Medical research Medicine and Health Sciences Neck NMR Noise Nuclear magnetic resonance Nuclear medicine Parameter estimation Parameters Penetration depth Phantoms, Imaging Physical Sciences Radiographic Image Enhancement - methods Research and Analysis Methods Signal to noise ratio Variance analysis Veins & arteries Young Adult |
title | Comparison of four MR carotid surface coils at 3T |
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