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Quantitative 3D myocardial perfusion with an efficient arterial input function
Purpose The purpose of this study was to further develop and combine several innovative sequence designs to achieve quantitative 3D myocardial perfusion. These developments include an optimized 3D stack‐of‐stars readout (150 ms per beat), efficient acquisition of a 2D arterial input function, tailor...
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Published in: | Magnetic resonance in medicine 2020-06, Vol.83 (6), p.1949-1963 |
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container_end_page | 1963 |
container_issue | 6 |
container_start_page | 1949 |
container_title | Magnetic resonance in medicine |
container_volume | 83 |
creator | Mendes, Jason Kraig Adluru, Ganesh Likhite, Devavrat Fair, Merlin J. Gatehouse, Peter D. Tian, Ye Pedgaonkar, Apoorva Wilson, Brent DiBella, Edward V. R. |
description | Purpose
The purpose of this study was to further develop and combine several innovative sequence designs to achieve quantitative 3D myocardial perfusion. These developments include an optimized 3D stack‐of‐stars readout (150 ms per beat), efficient acquisition of a 2D arterial input function, tailored saturation pulse design, and potential whole heart coverage during quantitative stress perfusion.
Theory and Methods
All studies were performed free‐breathing on a Prisma 3T MRI scanner. Phantom validation was used to verify sequence accuracy. A total of 21 subjects (3 patients with known disease) were scanned, 12 with a rest only protocol and 9 with both stress (regadenoson) and rest protocols. First pass quantitative perfusion was performed with gadoteridol (0.075 mmol/kg).
Results
Implementation and quantitative perfusion results are shown for healthy subjects and subjects with known coronary disease. Average rest perfusion for the 15 included healthy subjects was 0.79 ± 0.19 mL/g/min, the average stress perfusion for 6 healthy subject studies was 2.44 ± 0.61 mL/g/min, and the average global myocardial perfusion reserve ratio for 6 healthy subjects was 3.10 ± 0.24. Perfusion deficits for 3 patients with ischemia are shown. Average resting heart rate was 59 ± 7 bpm and the average stress heart rate was 81 ± 10 bpm.
Conclusion
This work demonstrates that a quantitative 3D myocardial perfusion sequence with the acquisition of a 2D arterial input function is feasible at high stress heart rates such as during stress. T1 values and gadolinium concentrations of the sequence match the reference standard well in a phantom, and myocardial rest and stress perfusion and myocardial perfusion reserve values are consistent with those published in literature. |
doi_str_mv | 10.1002/mrm.28050 |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7047561</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2310711314</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4430-8ffc489f1d8885b1ff533dba354b5d2cee60abfe44266b5530c1d759dd1bb0fc3</originalsourceid><addsrcrecordid>eNp10c1LHDEYBvBQLO5WPfQfkAEv7WF233zNx0Uo9sOCVhQ9h0wm6UZmMmuSUfa_b-ysSxV6yuH98fCEB6GPGBYYgCx73y9IBRzeoTnmhOSE12wPzaFkkFNcsxn6EMI9ANR1yfbRjOKihIpXc_TrepQu2iijfdQZ_Zr1m0FJ31rZZWvtzRjs4LInG1eZdJk2xiqrXcykj9o_I-vWY8zM6FRM8hC9N7IL-mj7HqC7799uz87zi6sfP8--XOSKMQp5ZYxiVW1wW1UVb7AxnNK2kZSzhrdEaV2AbIxmjBRFwzkFhduS122LmwaMogfodMpdj02vW5UqedmJtbe99BsxSCteX5xdid_DoyiBlbzAKeDTNsAPD6MOUfQ2KN110ulhDIJQDCXGFLNET97Q-2H0Ln0vqYLVmJekSOrzpJQfQvDa7MpgEM8ribSS-LtSssf_tt_Jl1kSWE7gyXZ68_8kcXlzOUX-AbJ6naU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2364915726</pqid></control><display><type>article</type><title>Quantitative 3D myocardial perfusion with an efficient arterial input function</title><source>Wiley</source><creator>Mendes, Jason Kraig ; Adluru, Ganesh ; Likhite, Devavrat ; Fair, Merlin J. ; Gatehouse, Peter D. ; Tian, Ye ; Pedgaonkar, Apoorva ; Wilson, Brent ; DiBella, Edward V. R.</creator><creatorcontrib>Mendes, Jason Kraig ; Adluru, Ganesh ; Likhite, Devavrat ; Fair, Merlin J. ; Gatehouse, Peter D. ; Tian, Ye ; Pedgaonkar, Apoorva ; Wilson, Brent ; DiBella, Edward V. R.</creatorcontrib><description>Purpose
The purpose of this study was to further develop and combine several innovative sequence designs to achieve quantitative 3D myocardial perfusion. These developments include an optimized 3D stack‐of‐stars readout (150 ms per beat), efficient acquisition of a 2D arterial input function, tailored saturation pulse design, and potential whole heart coverage during quantitative stress perfusion.
Theory and Methods
All studies were performed free‐breathing on a Prisma 3T MRI scanner. Phantom validation was used to verify sequence accuracy. A total of 21 subjects (3 patients with known disease) were scanned, 12 with a rest only protocol and 9 with both stress (regadenoson) and rest protocols. First pass quantitative perfusion was performed with gadoteridol (0.075 mmol/kg).
Results
Implementation and quantitative perfusion results are shown for healthy subjects and subjects with known coronary disease. Average rest perfusion for the 15 included healthy subjects was 0.79 ± 0.19 mL/g/min, the average stress perfusion for 6 healthy subject studies was 2.44 ± 0.61 mL/g/min, and the average global myocardial perfusion reserve ratio for 6 healthy subjects was 3.10 ± 0.24. Perfusion deficits for 3 patients with ischemia are shown. Average resting heart rate was 59 ± 7 bpm and the average stress heart rate was 81 ± 10 bpm.
Conclusion
This work demonstrates that a quantitative 3D myocardial perfusion sequence with the acquisition of a 2D arterial input function is feasible at high stress heart rates such as during stress. T1 values and gadolinium concentrations of the sequence match the reference standard well in a phantom, and myocardial rest and stress perfusion and myocardial perfusion reserve values are consistent with those published in literature.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.28050</identifier><identifier>PMID: 31670858</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>3D cardiac perfusion ; Algorithms ; arterial input function ; Coronary Circulation ; Gadolinium ; Heart diseases ; Heart rate ; Humans ; Ischemia ; Magnetic Resonance Imaging ; Myocardial Perfusion Imaging ; Perfusion ; Phantoms, Imaging ; quantitative cardiac perfusion ; Rest ; Stress</subject><ispartof>Magnetic resonance in medicine, 2020-06, Vol.83 (6), p.1949-1963</ispartof><rights>2019 International Society for Magnetic Resonance in Medicine</rights><rights>2019 International Society for Magnetic Resonance in Medicine.</rights><rights>2020 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4430-8ffc489f1d8885b1ff533dba354b5d2cee60abfe44266b5530c1d759dd1bb0fc3</citedby><cites>FETCH-LOGICAL-c4430-8ffc489f1d8885b1ff533dba354b5d2cee60abfe44266b5530c1d759dd1bb0fc3</cites><orcidid>0000-0001-9196-3731 ; 0000-0001-9530-1743 ; 0000-0002-9100-3105 ; 0000-0002-8559-4404 ; 0000-0001-8146-535X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31670858$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mendes, Jason Kraig</creatorcontrib><creatorcontrib>Adluru, Ganesh</creatorcontrib><creatorcontrib>Likhite, Devavrat</creatorcontrib><creatorcontrib>Fair, Merlin J.</creatorcontrib><creatorcontrib>Gatehouse, Peter D.</creatorcontrib><creatorcontrib>Tian, Ye</creatorcontrib><creatorcontrib>Pedgaonkar, Apoorva</creatorcontrib><creatorcontrib>Wilson, Brent</creatorcontrib><creatorcontrib>DiBella, Edward V. R.</creatorcontrib><title>Quantitative 3D myocardial perfusion with an efficient arterial input function</title><title>Magnetic resonance in medicine</title><addtitle>Magn Reson Med</addtitle><description>Purpose
The purpose of this study was to further develop and combine several innovative sequence designs to achieve quantitative 3D myocardial perfusion. These developments include an optimized 3D stack‐of‐stars readout (150 ms per beat), efficient acquisition of a 2D arterial input function, tailored saturation pulse design, and potential whole heart coverage during quantitative stress perfusion.
Theory and Methods
All studies were performed free‐breathing on a Prisma 3T MRI scanner. Phantom validation was used to verify sequence accuracy. A total of 21 subjects (3 patients with known disease) were scanned, 12 with a rest only protocol and 9 with both stress (regadenoson) and rest protocols. First pass quantitative perfusion was performed with gadoteridol (0.075 mmol/kg).
Results
Implementation and quantitative perfusion results are shown for healthy subjects and subjects with known coronary disease. Average rest perfusion for the 15 included healthy subjects was 0.79 ± 0.19 mL/g/min, the average stress perfusion for 6 healthy subject studies was 2.44 ± 0.61 mL/g/min, and the average global myocardial perfusion reserve ratio for 6 healthy subjects was 3.10 ± 0.24. Perfusion deficits for 3 patients with ischemia are shown. Average resting heart rate was 59 ± 7 bpm and the average stress heart rate was 81 ± 10 bpm.
Conclusion
This work demonstrates that a quantitative 3D myocardial perfusion sequence with the acquisition of a 2D arterial input function is feasible at high stress heart rates such as during stress. T1 values and gadolinium concentrations of the sequence match the reference standard well in a phantom, and myocardial rest and stress perfusion and myocardial perfusion reserve values are consistent with those published in literature.</description><subject>3D cardiac perfusion</subject><subject>Algorithms</subject><subject>arterial input function</subject><subject>Coronary Circulation</subject><subject>Gadolinium</subject><subject>Heart diseases</subject><subject>Heart rate</subject><subject>Humans</subject><subject>Ischemia</subject><subject>Magnetic Resonance Imaging</subject><subject>Myocardial Perfusion Imaging</subject><subject>Perfusion</subject><subject>Phantoms, Imaging</subject><subject>quantitative cardiac perfusion</subject><subject>Rest</subject><subject>Stress</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp10c1LHDEYBvBQLO5WPfQfkAEv7WF233zNx0Uo9sOCVhQ9h0wm6UZmMmuSUfa_b-ysSxV6yuH98fCEB6GPGBYYgCx73y9IBRzeoTnmhOSE12wPzaFkkFNcsxn6EMI9ANR1yfbRjOKihIpXc_TrepQu2iijfdQZ_Zr1m0FJ31rZZWvtzRjs4LInG1eZdJk2xiqrXcykj9o_I-vWY8zM6FRM8hC9N7IL-mj7HqC7799uz87zi6sfP8--XOSKMQp5ZYxiVW1wW1UVb7AxnNK2kZSzhrdEaV2AbIxmjBRFwzkFhduS122LmwaMogfodMpdj02vW5UqedmJtbe99BsxSCteX5xdid_DoyiBlbzAKeDTNsAPD6MOUfQ2KN110ulhDIJQDCXGFLNET97Q-2H0Ln0vqYLVmJekSOrzpJQfQvDa7MpgEM8ribSS-LtSssf_tt_Jl1kSWE7gyXZ68_8kcXlzOUX-AbJ6naU</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Mendes, Jason Kraig</creator><creator>Adluru, Ganesh</creator><creator>Likhite, Devavrat</creator><creator>Fair, Merlin J.</creator><creator>Gatehouse, Peter D.</creator><creator>Tian, Ye</creator><creator>Pedgaonkar, Apoorva</creator><creator>Wilson, Brent</creator><creator>DiBella, Edward V. R.</creator><general>Wiley Subscription Services, Inc</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>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-9196-3731</orcidid><orcidid>https://orcid.org/0000-0001-9530-1743</orcidid><orcidid>https://orcid.org/0000-0002-9100-3105</orcidid><orcidid>https://orcid.org/0000-0002-8559-4404</orcidid><orcidid>https://orcid.org/0000-0001-8146-535X</orcidid></search><sort><creationdate>202006</creationdate><title>Quantitative 3D myocardial perfusion with an efficient arterial input function</title><author>Mendes, Jason Kraig ; Adluru, Ganesh ; Likhite, Devavrat ; Fair, Merlin J. ; Gatehouse, Peter D. ; Tian, Ye ; Pedgaonkar, Apoorva ; Wilson, Brent ; DiBella, Edward V. R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4430-8ffc489f1d8885b1ff533dba354b5d2cee60abfe44266b5530c1d759dd1bb0fc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>3D cardiac perfusion</topic><topic>Algorithms</topic><topic>arterial input function</topic><topic>Coronary Circulation</topic><topic>Gadolinium</topic><topic>Heart diseases</topic><topic>Heart rate</topic><topic>Humans</topic><topic>Ischemia</topic><topic>Magnetic Resonance Imaging</topic><topic>Myocardial Perfusion Imaging</topic><topic>Perfusion</topic><topic>Phantoms, Imaging</topic><topic>quantitative cardiac perfusion</topic><topic>Rest</topic><topic>Stress</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mendes, Jason Kraig</creatorcontrib><creatorcontrib>Adluru, Ganesh</creatorcontrib><creatorcontrib>Likhite, Devavrat</creatorcontrib><creatorcontrib>Fair, Merlin J.</creatorcontrib><creatorcontrib>Gatehouse, Peter D.</creatorcontrib><creatorcontrib>Tian, Ye</creatorcontrib><creatorcontrib>Pedgaonkar, Apoorva</creatorcontrib><creatorcontrib>Wilson, Brent</creatorcontrib><creatorcontrib>DiBella, Edward V. R.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mendes, Jason Kraig</au><au>Adluru, Ganesh</au><au>Likhite, Devavrat</au><au>Fair, Merlin J.</au><au>Gatehouse, Peter D.</au><au>Tian, Ye</au><au>Pedgaonkar, Apoorva</au><au>Wilson, Brent</au><au>DiBella, Edward V. R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative 3D myocardial perfusion with an efficient arterial input function</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn Reson Med</addtitle><date>2020-06</date><risdate>2020</risdate><volume>83</volume><issue>6</issue><spage>1949</spage><epage>1963</epage><pages>1949-1963</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><abstract>Purpose
The purpose of this study was to further develop and combine several innovative sequence designs to achieve quantitative 3D myocardial perfusion. These developments include an optimized 3D stack‐of‐stars readout (150 ms per beat), efficient acquisition of a 2D arterial input function, tailored saturation pulse design, and potential whole heart coverage during quantitative stress perfusion.
Theory and Methods
All studies were performed free‐breathing on a Prisma 3T MRI scanner. Phantom validation was used to verify sequence accuracy. A total of 21 subjects (3 patients with known disease) were scanned, 12 with a rest only protocol and 9 with both stress (regadenoson) and rest protocols. First pass quantitative perfusion was performed with gadoteridol (0.075 mmol/kg).
Results
Implementation and quantitative perfusion results are shown for healthy subjects and subjects with known coronary disease. Average rest perfusion for the 15 included healthy subjects was 0.79 ± 0.19 mL/g/min, the average stress perfusion for 6 healthy subject studies was 2.44 ± 0.61 mL/g/min, and the average global myocardial perfusion reserve ratio for 6 healthy subjects was 3.10 ± 0.24. Perfusion deficits for 3 patients with ischemia are shown. Average resting heart rate was 59 ± 7 bpm and the average stress heart rate was 81 ± 10 bpm.
Conclusion
This work demonstrates that a quantitative 3D myocardial perfusion sequence with the acquisition of a 2D arterial input function is feasible at high stress heart rates such as during stress. T1 values and gadolinium concentrations of the sequence match the reference standard well in a phantom, and myocardial rest and stress perfusion and myocardial perfusion reserve values are consistent with those published in literature.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31670858</pmid><doi>10.1002/mrm.28050</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-9196-3731</orcidid><orcidid>https://orcid.org/0000-0001-9530-1743</orcidid><orcidid>https://orcid.org/0000-0002-9100-3105</orcidid><orcidid>https://orcid.org/0000-0002-8559-4404</orcidid><orcidid>https://orcid.org/0000-0001-8146-535X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | 3D cardiac perfusion Algorithms arterial input function Coronary Circulation Gadolinium Heart diseases Heart rate Humans Ischemia Magnetic Resonance Imaging Myocardial Perfusion Imaging Perfusion Phantoms, Imaging quantitative cardiac perfusion Rest Stress |
title | Quantitative 3D myocardial perfusion with an efficient arterial input function |
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