Dark blood late enhancement imaging
Bright blood late gadolinium enhancement (LGE) imaging typically achieves excellent contrast between infarcted and normal myocardium. However, the contrast between the myocardial infarction (MI) and the blood pool is frequently suboptimal. A large fraction of infarctions caused by coronary artery di...
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creator | Kellman, Peter Xue, Hui Olivieri, Laura J Cross, Russell R Grant, Elena K Fontana, Marianna Ugander, Martin Moon, James C Hansen, Michael S |
description | Bright blood late gadolinium enhancement (LGE) imaging typically achieves excellent contrast between infarcted and normal myocardium. However, the contrast between the myocardial infarction (MI) and the blood pool is frequently suboptimal. A large fraction of infarctions caused by coronary artery disease are sub-endocardial and thus adjacent to the blood pool. It is not infrequent that sub-endocardial MIs are difficult to detect or clearly delineate.
In this present work, an inversion recovery (IR) T2 preparation was combined with single shot steady state free precession imaging and respiratory motion corrected averaging to achieve dark blood LGE images with good signal to noise ratio while maintaining the desired spatial and temporal resolution. In this manner, imaging was conducted free-breathing, which has benefits for image quality, patient comfort, and clinical workflow in both adults and children. Furthermore, by using a phase sensitive inversion recovery reconstruction the blood signal may be made darker than the myocardium (i.e., negative signal values) thereby providing contrast between the blood and both the MI and remote myocardium. In the proposed approach, a single T1-map scout was used to measure the myocardial and blood T1 using a MOdified Look-Locker Inversion recovery (MOLLI) protocol and all protocol parameters were automatically calculated from these values within the sequence thereby simplifying the user interface.
The contrast to noise ratio (CNR) between MI and remote myocardium was measured in n = 30 subjects with subendocardial MI using both bright blood and dark blood protocols. The CNR for the dark blood protocol had a 13 % loss compared to the bright blood protocol. The CNR between the MI and blood pool was positive for all dark blood cases, and was negative in 63 % of the bright blood cases. The conspicuity of subendocardial fibrosis and MI was greatly improved by dark blood (DB) PSIR as well as the delineation of the subendocardial border.
Free-breathing, dark blood PSIR LGE imaging was demonstrated to improve the visualization of subendocardial MI and fibrosis in cases with low contrast with adjacent blood pool. The proposed method also improves visualization of thin walled fibrous structures such as atrial walls and valves, as well as papillary muscles. |
doi_str_mv | 10.1186/s12968-016-0297-3 |
format | Article |
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In this present work, an inversion recovery (IR) T2 preparation was combined with single shot steady state free precession imaging and respiratory motion corrected averaging to achieve dark blood LGE images with good signal to noise ratio while maintaining the desired spatial and temporal resolution. In this manner, imaging was conducted free-breathing, which has benefits for image quality, patient comfort, and clinical workflow in both adults and children. Furthermore, by using a phase sensitive inversion recovery reconstruction the blood signal may be made darker than the myocardium (i.e., negative signal values) thereby providing contrast between the blood and both the MI and remote myocardium. In the proposed approach, a single T1-map scout was used to measure the myocardial and blood T1 using a MOdified Look-Locker Inversion recovery (MOLLI) protocol and all protocol parameters were automatically calculated from these values within the sequence thereby simplifying the user interface.
The contrast to noise ratio (CNR) between MI and remote myocardium was measured in n = 30 subjects with subendocardial MI using both bright blood and dark blood protocols. The CNR for the dark blood protocol had a 13 % loss compared to the bright blood protocol. The CNR between the MI and blood pool was positive for all dark blood cases, and was negative in 63 % of the bright blood cases. The conspicuity of subendocardial fibrosis and MI was greatly improved by dark blood (DB) PSIR as well as the delineation of the subendocardial border.
Free-breathing, dark blood PSIR LGE imaging was demonstrated to improve the visualization of subendocardial MI and fibrosis in cases with low contrast with adjacent blood pool. The proposed method also improves visualization of thin walled fibrous structures such as atrial walls and valves, as well as papillary muscles.</description><identifier>ISSN: 1097-6647</identifier><identifier>ISSN: 1532-429X</identifier><identifier>EISSN: 1532-429X</identifier><identifier>DOI: 10.1186/s12968-016-0297-3</identifier><identifier>PMID: 27817748</identifier><language>eng</language><publisher>England: BioMed Central</publisher><subject>Automation ; Contrast Media - administration & dosage ; District of Columbia ; Fibrosis ; Humans ; Image Interpretation, Computer-Assisted ; London ; Magnetic Resonance Imaging - methods ; Medicin och hälsovetenskap ; Myocardial Infarction - blood ; Myocardial Infarction - diagnostic imaging ; Myocardial Infarction - pathology ; Myocardium - pathology ; Pilot Projects ; Predictive Value of Tests ; Reproducibility of Results ; Respiration ; Signal-To-Noise Ratio ; Sweden ; User-Computer Interface ; Workflow</subject><ispartof>Journal of cardiovascular magnetic resonance, 2016-11, Vol.18 (1), p.77-77, Article 77</ispartof><rights>Copyright BioMed Central 2016</rights><rights>The Author(s). 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c655t-1b390b158f321c74bc9e5e00b31f1083f81057d5a2cc4a082a26c7d030b9f5093</citedby><cites>FETCH-LOGICAL-c655t-1b390b158f321c74bc9e5e00b31f1083f81057d5a2cc4a082a26c7d030b9f5093</cites><orcidid>0000-0002-9875-6070</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/PMC5098284/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5098284/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27817748$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:134591909$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Kellman, Peter</creatorcontrib><creatorcontrib>Xue, Hui</creatorcontrib><creatorcontrib>Olivieri, Laura J</creatorcontrib><creatorcontrib>Cross, Russell R</creatorcontrib><creatorcontrib>Grant, Elena K</creatorcontrib><creatorcontrib>Fontana, Marianna</creatorcontrib><creatorcontrib>Ugander, Martin</creatorcontrib><creatorcontrib>Moon, James C</creatorcontrib><creatorcontrib>Hansen, Michael S</creatorcontrib><title>Dark blood late enhancement imaging</title><title>Journal of cardiovascular magnetic resonance</title><addtitle>J Cardiovasc Magn Reson</addtitle><description>Bright blood late gadolinium enhancement (LGE) imaging typically achieves excellent contrast between infarcted and normal myocardium. However, the contrast between the myocardial infarction (MI) and the blood pool is frequently suboptimal. A large fraction of infarctions caused by coronary artery disease are sub-endocardial and thus adjacent to the blood pool. It is not infrequent that sub-endocardial MIs are difficult to detect or clearly delineate.
In this present work, an inversion recovery (IR) T2 preparation was combined with single shot steady state free precession imaging and respiratory motion corrected averaging to achieve dark blood LGE images with good signal to noise ratio while maintaining the desired spatial and temporal resolution. In this manner, imaging was conducted free-breathing, which has benefits for image quality, patient comfort, and clinical workflow in both adults and children. Furthermore, by using a phase sensitive inversion recovery reconstruction the blood signal may be made darker than the myocardium (i.e., negative signal values) thereby providing contrast between the blood and both the MI and remote myocardium. In the proposed approach, a single T1-map scout was used to measure the myocardial and blood T1 using a MOdified Look-Locker Inversion recovery (MOLLI) protocol and all protocol parameters were automatically calculated from these values within the sequence thereby simplifying the user interface.
The contrast to noise ratio (CNR) between MI and remote myocardium was measured in n = 30 subjects with subendocardial MI using both bright blood and dark blood protocols. The CNR for the dark blood protocol had a 13 % loss compared to the bright blood protocol. The CNR between the MI and blood pool was positive for all dark blood cases, and was negative in 63 % of the bright blood cases. The conspicuity of subendocardial fibrosis and MI was greatly improved by dark blood (DB) PSIR as well as the delineation of the subendocardial border.
Free-breathing, dark blood PSIR LGE imaging was demonstrated to improve the visualization of subendocardial MI and fibrosis in cases with low contrast with adjacent blood pool. The proposed method also improves visualization of thin walled fibrous structures such as atrial walls and valves, as well as papillary muscles.</description><subject>Automation</subject><subject>Contrast Media - administration & dosage</subject><subject>District of Columbia</subject><subject>Fibrosis</subject><subject>Humans</subject><subject>Image Interpretation, Computer-Assisted</subject><subject>London</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medicin och hälsovetenskap</subject><subject>Myocardial Infarction - blood</subject><subject>Myocardial Infarction - diagnostic imaging</subject><subject>Myocardial Infarction - pathology</subject><subject>Myocardium - pathology</subject><subject>Pilot Projects</subject><subject>Predictive Value of Tests</subject><subject>Reproducibility of Results</subject><subject>Respiration</subject><subject>Signal-To-Noise Ratio</subject><subject>Sweden</subject><subject>User-Computer Interface</subject><subject>Workflow</subject><issn>1097-6647</issn><issn>1532-429X</issn><issn>1532-429X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>D8T</sourceid><recordid>eNp1kUtLAzEUhYMotj5-gBspuHEzem8ymSQbQXyD4EbBXchkMu3odFKTVvHfm9r6qOAql-Q799ybQ8gewhGiLI4jUlXIDLDIgCqRsTXSR85ollP1uJ5qSJdFkYse2YrxCQCVALFJelRIFCKXfXJwbsLzoGy9rwatmbqB60ams27suumgGZth0w13yEZt2uh2l-c2ebi8uD-7zm7vrm7OTm8zW3A-zbBkCkrksmYUrchLqxx3ACXDGkGyWiJwUXFDrc0NSGpoYUUFDEpVc1Bsm2SLvvHNTWalnoQ0QHjX3jR6efWcKqc5IC3yxKt_-Unw1Y_oS4gs5wrVp9fJQpuAsatsWjeYdrXFykvXjPTQvyZvJamcmx8uGwT_MnNxqsdNtK5tTef8LGqUTKRQkM-9Dv6gT34WuvSVicq5AIlSJgoXlA0-xuDq72EQ9DxuvYhbp7j1PG7Nkmb_9xbfiq982QeGAqVS</recordid><startdate>20161107</startdate><enddate>20161107</enddate><creator>Kellman, Peter</creator><creator>Xue, Hui</creator><creator>Olivieri, Laura J</creator><creator>Cross, Russell R</creator><creator>Grant, Elena K</creator><creator>Fontana, Marianna</creator><creator>Ugander, Martin</creator><creator>Moon, James C</creator><creator>Hansen, Michael S</creator><general>BioMed Central</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>3V.</scope><scope>7SC</scope><scope>7SP</scope><scope>7U5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K9.</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>M7Z</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-9875-6070</orcidid></search><sort><creationdate>20161107</creationdate><title>Dark blood late enhancement imaging</title><author>Kellman, Peter ; Xue, Hui ; Olivieri, Laura J ; Cross, Russell R ; Grant, Elena K ; Fontana, Marianna ; Ugander, Martin ; Moon, James C ; Hansen, Michael S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c655t-1b390b158f321c74bc9e5e00b31f1083f81057d5a2cc4a082a26c7d030b9f5093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Automation</topic><topic>Contrast Media - administration & dosage</topic><topic>District of Columbia</topic><topic>Fibrosis</topic><topic>Humans</topic><topic>Image Interpretation, Computer-Assisted</topic><topic>London</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medicin och hälsovetenskap</topic><topic>Myocardial Infarction - blood</topic><topic>Myocardial Infarction - diagnostic imaging</topic><topic>Myocardial Infarction - pathology</topic><topic>Myocardium - pathology</topic><topic>Pilot Projects</topic><topic>Predictive Value of Tests</topic><topic>Reproducibility of Results</topic><topic>Respiration</topic><topic>Signal-To-Noise Ratio</topic><topic>Sweden</topic><topic>User-Computer Interface</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kellman, Peter</creatorcontrib><creatorcontrib>Xue, Hui</creatorcontrib><creatorcontrib>Olivieri, Laura J</creatorcontrib><creatorcontrib>Cross, Russell R</creatorcontrib><creatorcontrib>Grant, Elena K</creatorcontrib><creatorcontrib>Fontana, Marianna</creatorcontrib><creatorcontrib>Ugander, Martin</creatorcontrib><creatorcontrib>Moon, James C</creatorcontrib><creatorcontrib>Hansen, Michael S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</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>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Biochemistry Abstracts 1</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Journal of cardiovascular magnetic resonance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kellman, Peter</au><au>Xue, Hui</au><au>Olivieri, Laura J</au><au>Cross, Russell R</au><au>Grant, Elena K</au><au>Fontana, Marianna</au><au>Ugander, Martin</au><au>Moon, James C</au><au>Hansen, Michael S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dark blood late enhancement imaging</atitle><jtitle>Journal of cardiovascular magnetic resonance</jtitle><addtitle>J Cardiovasc Magn Reson</addtitle><date>2016-11-07</date><risdate>2016</risdate><volume>18</volume><issue>1</issue><spage>77</spage><epage>77</epage><pages>77-77</pages><artnum>77</artnum><issn>1097-6647</issn><issn>1532-429X</issn><eissn>1532-429X</eissn><abstract>Bright blood late gadolinium enhancement (LGE) imaging typically achieves excellent contrast between infarcted and normal myocardium. However, the contrast between the myocardial infarction (MI) and the blood pool is frequently suboptimal. A large fraction of infarctions caused by coronary artery disease are sub-endocardial and thus adjacent to the blood pool. It is not infrequent that sub-endocardial MIs are difficult to detect or clearly delineate.
In this present work, an inversion recovery (IR) T2 preparation was combined with single shot steady state free precession imaging and respiratory motion corrected averaging to achieve dark blood LGE images with good signal to noise ratio while maintaining the desired spatial and temporal resolution. In this manner, imaging was conducted free-breathing, which has benefits for image quality, patient comfort, and clinical workflow in both adults and children. Furthermore, by using a phase sensitive inversion recovery reconstruction the blood signal may be made darker than the myocardium (i.e., negative signal values) thereby providing contrast between the blood and both the MI and remote myocardium. In the proposed approach, a single T1-map scout was used to measure the myocardial and blood T1 using a MOdified Look-Locker Inversion recovery (MOLLI) protocol and all protocol parameters were automatically calculated from these values within the sequence thereby simplifying the user interface.
The contrast to noise ratio (CNR) between MI and remote myocardium was measured in n = 30 subjects with subendocardial MI using both bright blood and dark blood protocols. The CNR for the dark blood protocol had a 13 % loss compared to the bright blood protocol. The CNR between the MI and blood pool was positive for all dark blood cases, and was negative in 63 % of the bright blood cases. The conspicuity of subendocardial fibrosis and MI was greatly improved by dark blood (DB) PSIR as well as the delineation of the subendocardial border.
Free-breathing, dark blood PSIR LGE imaging was demonstrated to improve the visualization of subendocardial MI and fibrosis in cases with low contrast with adjacent blood pool. The proposed method also improves visualization of thin walled fibrous structures such as atrial walls and valves, as well as papillary muscles.</abstract><cop>England</cop><pub>BioMed Central</pub><pmid>27817748</pmid><doi>10.1186/s12968-016-0297-3</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-9875-6070</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; SWEPUB Freely available online; Springer Nature OA Free Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Alma/SFX Local Collection |
subjects | Automation Contrast Media - administration & dosage District of Columbia Fibrosis Humans Image Interpretation, Computer-Assisted London Magnetic Resonance Imaging - methods Medicin och hälsovetenskap Myocardial Infarction - blood Myocardial Infarction - diagnostic imaging Myocardial Infarction - pathology Myocardium - pathology Pilot Projects Predictive Value of Tests Reproducibility of Results Respiration Signal-To-Noise Ratio Sweden User-Computer Interface Workflow |
title | Dark blood late enhancement imaging |
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