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Free‐breathing 3D CEST MRI of human liver at 3.0 T
Purpose To develop a novel 3D abdominal CEST MRI technique at 3 T using MR multitasking, which enables entire‐liver coverage with free‐breathing acquisition. Methods k‐Space data were continuously acquired with repetitive steady‐state CEST (ss‐CEST) modules. The stack‐of‐stars acquisition pattern wa...
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| Published in: | Magnetic resonance in medicine 2023-02, Vol.89 (2), p.738-745 |
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| cites | cdi_FETCH-LOGICAL-c4080-ff76b3160ef28b0e5eaa57c40bd1ca78e128196ccfccdf83135795d32ebc84833 |
| container_end_page | 745 |
| container_issue | 2 |
| container_start_page | 738 |
| container_title | Magnetic resonance in medicine |
| container_volume | 89 |
| creator | Han, Pei Cheema, Karandeep Cao, Tianle Lee, Hsu‐Lei Han, Fei Wang, Nan Han, Hui Xie, Yibin Christodoulou, Anthony G. Li, Debiao |
| description | Purpose
To develop a novel 3D abdominal CEST MRI technique at 3 T using MR multitasking, which enables entire‐liver coverage with free‐breathing acquisition.
Methods
k‐Space data were continuously acquired with repetitive steady‐state CEST (ss‐CEST) modules. The stack‐of‐stars acquisition pattern was used for k‐space sampling. MR multitasking was used to reconstruct motion‐resolved 3D CEST images of 53 frequency offsets with entire‐liver coverage and 2.0 × 2.0 × 6.0 mm3 spatial resolution. The total scan time was 9 min. The sensitivity of amide proton transfer (APT)‐CEST (magnetization transfer asymmetry [MTRasym] at 3.5 ppm) and glycogen CEST (glycoCEST) (mean MTRasym around 1.0 ppm) signals generated with the proposed method were tested with fasting experiments.
Results
Both APT‐CEST and glycoCEST signals showed high sensitivity between post‐fasting and post‐meal acquisitions. APT‐CEST and glycoCEST MTRasym signals from post‐mean scans were significantly increased (APT‐CEST: −0.019 ± 0.017 in post‐fasting scans, 0.014 ± 0.021 in post‐meal scans, p |
| doi_str_mv | 10.1002/mrm.29470 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9712251</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2718640580</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4080-ff76b3160ef28b0e5eaa57c40bd1ca78e128196ccfccdf83135795d32ebc84833</originalsourceid><addsrcrecordid>eNp1kUtOG0EQhluICAzJggugkdiExZjq13T3JhIyEJCwkIizbvW0a_BY83B6PETsOAJH4Cw5Sk6SJjYWRIpqUYv69KmqfkIOKAwpADupQz1kRijYIgMqGUuZNGKbDEAJSDk1Ypfsdd0cAIxRYofs8ozGyvSAyIuA-PvxKQ_olrOyuUv4WTI6_zZJxrdXSVsks752TVKV9xgSt0z4EH49Tz6SD4WrOvy07vvk-8X5ZHSZXt98vRqdXqdegIa0KFSWc5oBFkzngBKdkyrO8in1TmmkTFOTeV94Py00p1wqI6ecYe610Jzvky8r76LPa5x6bJbBVXYRytqFB9u60r6fNOXM3rX31ijKmKRR8HktCO2PHrulrcvOY1W5Btu-s0xRnQmQGiJ69A86b_vQxPMiJShlBjIZqeMV5UPbdQGLzTIU7EsYNoZh_4YR2cO322_I1-9H4GQF_CwrfPi_yY5vxyvlH4xmkno</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2741129065</pqid></control><display><type>article</type><title>Free‐breathing 3D CEST MRI of human liver at 3.0 T</title><source>Wiley-Blackwell Read & Publish Collection</source><creator>Han, Pei ; Cheema, Karandeep ; Cao, Tianle ; Lee, Hsu‐Lei ; Han, Fei ; Wang, Nan ; Han, Hui ; Xie, Yibin ; Christodoulou, Anthony G. ; Li, Debiao</creator><creatorcontrib>Han, Pei ; Cheema, Karandeep ; Cao, Tianle ; Lee, Hsu‐Lei ; Han, Fei ; Wang, Nan ; Han, Hui ; Xie, Yibin ; Christodoulou, Anthony G. ; Li, Debiao</creatorcontrib><description>Purpose
To develop a novel 3D abdominal CEST MRI technique at 3 T using MR multitasking, which enables entire‐liver coverage with free‐breathing acquisition.
Methods
k‐Space data were continuously acquired with repetitive steady‐state CEST (ss‐CEST) modules. The stack‐of‐stars acquisition pattern was used for k‐space sampling. MR multitasking was used to reconstruct motion‐resolved 3D CEST images of 53 frequency offsets with entire‐liver coverage and 2.0 × 2.0 × 6.0 mm3 spatial resolution. The total scan time was 9 min. The sensitivity of amide proton transfer (APT)‐CEST (magnetization transfer asymmetry [MTRasym] at 3.5 ppm) and glycogen CEST (glycoCEST) (mean MTRasym around 1.0 ppm) signals generated with the proposed method were tested with fasting experiments.
Results
Both APT‐CEST and glycoCEST signals showed high sensitivity between post‐fasting and post‐meal acquisitions. APT‐CEST and glycoCEST MTRasym signals from post‐mean scans were significantly increased (APT‐CEST: −0.019 ± 0.017 in post‐fasting scans, 0.014 ± 0.021 in post‐meal scans, p < 0.01; glycoCEST: 0.003 ± 0.009 in post‐fasting scans, 0.027 ± 0.021 in post‐meal scans, p < 0.01).
Conclusion
The proposed 3D abdominal steady‐state CEST method using MR multitasking can generate CEST images of the entire liver during free breathing.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.29470</identifier><identifier>PMID: 36161668</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Amides ; APT ; chemical exchange saturation transfer ; Data acquisition ; Fasting ; Glycogen ; Glycogens ; Humans ; Image reconstruction ; Imaging, Three-Dimensional ; Liver ; Liver - diagnostic imaging ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; MR multitasking ; Multitasking ; Protons ; Sensitivity ; Spatial discrimination ; Spatial resolution ; steady‐state CEST ; Three dimensional motion</subject><ispartof>Magnetic resonance in medicine, 2023-02, Vol.89 (2), p.738-745</ispartof><rights>2022 International Society for Magnetic Resonance in Medicine.</rights><rights>2023 International Society for Magnetic Resonance in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4080-ff76b3160ef28b0e5eaa57c40bd1ca78e128196ccfccdf83135795d32ebc84833</citedby><cites>FETCH-LOGICAL-c4080-ff76b3160ef28b0e5eaa57c40bd1ca78e128196ccfccdf83135795d32ebc84833</cites><orcidid>0000-0003-3739-3103 ; 0000-0002-7616-8083 ; 0000-0002-9334-8684 ; 0000-0001-8532-9339</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/36161668$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Pei</creatorcontrib><creatorcontrib>Cheema, Karandeep</creatorcontrib><creatorcontrib>Cao, Tianle</creatorcontrib><creatorcontrib>Lee, Hsu‐Lei</creatorcontrib><creatorcontrib>Han, Fei</creatorcontrib><creatorcontrib>Wang, Nan</creatorcontrib><creatorcontrib>Han, Hui</creatorcontrib><creatorcontrib>Xie, Yibin</creatorcontrib><creatorcontrib>Christodoulou, Anthony G.</creatorcontrib><creatorcontrib>Li, Debiao</creatorcontrib><title>Free‐breathing 3D CEST MRI of human liver at 3.0 T</title><title>Magnetic resonance in medicine</title><addtitle>Magn Reson Med</addtitle><description>Purpose
To develop a novel 3D abdominal CEST MRI technique at 3 T using MR multitasking, which enables entire‐liver coverage with free‐breathing acquisition.
Methods
k‐Space data were continuously acquired with repetitive steady‐state CEST (ss‐CEST) modules. The stack‐of‐stars acquisition pattern was used for k‐space sampling. MR multitasking was used to reconstruct motion‐resolved 3D CEST images of 53 frequency offsets with entire‐liver coverage and 2.0 × 2.0 × 6.0 mm3 spatial resolution. The total scan time was 9 min. The sensitivity of amide proton transfer (APT)‐CEST (magnetization transfer asymmetry [MTRasym] at 3.5 ppm) and glycogen CEST (glycoCEST) (mean MTRasym around 1.0 ppm) signals generated with the proposed method were tested with fasting experiments.
Results
Both APT‐CEST and glycoCEST signals showed high sensitivity between post‐fasting and post‐meal acquisitions. APT‐CEST and glycoCEST MTRasym signals from post‐mean scans were significantly increased (APT‐CEST: −0.019 ± 0.017 in post‐fasting scans, 0.014 ± 0.021 in post‐meal scans, p < 0.01; glycoCEST: 0.003 ± 0.009 in post‐fasting scans, 0.027 ± 0.021 in post‐meal scans, p < 0.01).
Conclusion
The proposed 3D abdominal steady‐state CEST method using MR multitasking can generate CEST images of the entire liver during free breathing.</description><subject>Amides</subject><subject>APT</subject><subject>chemical exchange saturation transfer</subject><subject>Data acquisition</subject><subject>Fasting</subject><subject>Glycogen</subject><subject>Glycogens</subject><subject>Humans</subject><subject>Image reconstruction</subject><subject>Imaging, Three-Dimensional</subject><subject>Liver</subject><subject>Liver - diagnostic imaging</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>MR multitasking</subject><subject>Multitasking</subject><subject>Protons</subject><subject>Sensitivity</subject><subject>Spatial discrimination</subject><subject>Spatial resolution</subject><subject>steady‐state CEST</subject><subject>Three dimensional motion</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp1kUtOG0EQhluICAzJggugkdiExZjq13T3JhIyEJCwkIizbvW0a_BY83B6PETsOAJH4Cw5Sk6SJjYWRIpqUYv69KmqfkIOKAwpADupQz1kRijYIgMqGUuZNGKbDEAJSDk1Ypfsdd0cAIxRYofs8ozGyvSAyIuA-PvxKQ_olrOyuUv4WTI6_zZJxrdXSVsks752TVKV9xgSt0z4EH49Tz6SD4WrOvy07vvk-8X5ZHSZXt98vRqdXqdegIa0KFSWc5oBFkzngBKdkyrO8in1TmmkTFOTeV94Py00p1wqI6ecYe610Jzvky8r76LPa5x6bJbBVXYRytqFB9u60r6fNOXM3rX31ijKmKRR8HktCO2PHrulrcvOY1W5Btu-s0xRnQmQGiJ69A86b_vQxPMiJShlBjIZqeMV5UPbdQGLzTIU7EsYNoZh_4YR2cO322_I1-9H4GQF_CwrfPi_yY5vxyvlH4xmkno</recordid><startdate>202302</startdate><enddate>202302</enddate><creator>Han, Pei</creator><creator>Cheema, Karandeep</creator><creator>Cao, Tianle</creator><creator>Lee, Hsu‐Lei</creator><creator>Han, Fei</creator><creator>Wang, Nan</creator><creator>Han, Hui</creator><creator>Xie, Yibin</creator><creator>Christodoulou, Anthony G.</creator><creator>Li, Debiao</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/0000-0003-3739-3103</orcidid><orcidid>https://orcid.org/0000-0002-7616-8083</orcidid><orcidid>https://orcid.org/0000-0002-9334-8684</orcidid><orcidid>https://orcid.org/0000-0001-8532-9339</orcidid></search><sort><creationdate>202302</creationdate><title>Free‐breathing 3D CEST MRI of human liver at 3.0 T</title><author>Han, Pei ; Cheema, Karandeep ; Cao, Tianle ; Lee, Hsu‐Lei ; Han, Fei ; Wang, Nan ; Han, Hui ; Xie, Yibin ; Christodoulou, Anthony G. ; Li, Debiao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4080-ff76b3160ef28b0e5eaa57c40bd1ca78e128196ccfccdf83135795d32ebc84833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Amides</topic><topic>APT</topic><topic>chemical exchange saturation transfer</topic><topic>Data acquisition</topic><topic>Fasting</topic><topic>Glycogen</topic><topic>Glycogens</topic><topic>Humans</topic><topic>Image reconstruction</topic><topic>Imaging, Three-Dimensional</topic><topic>Liver</topic><topic>Liver - diagnostic imaging</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>MR multitasking</topic><topic>Multitasking</topic><topic>Protons</topic><topic>Sensitivity</topic><topic>Spatial discrimination</topic><topic>Spatial resolution</topic><topic>steady‐state CEST</topic><topic>Three dimensional motion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Pei</creatorcontrib><creatorcontrib>Cheema, Karandeep</creatorcontrib><creatorcontrib>Cao, Tianle</creatorcontrib><creatorcontrib>Lee, Hsu‐Lei</creatorcontrib><creatorcontrib>Han, Fei</creatorcontrib><creatorcontrib>Wang, Nan</creatorcontrib><creatorcontrib>Han, Hui</creatorcontrib><creatorcontrib>Xie, Yibin</creatorcontrib><creatorcontrib>Christodoulou, Anthony G.</creatorcontrib><creatorcontrib>Li, Debiao</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>Han, Pei</au><au>Cheema, Karandeep</au><au>Cao, Tianle</au><au>Lee, Hsu‐Lei</au><au>Han, Fei</au><au>Wang, Nan</au><au>Han, Hui</au><au>Xie, Yibin</au><au>Christodoulou, Anthony G.</au><au>Li, Debiao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Free‐breathing 3D CEST MRI of human liver at 3.0 T</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn Reson Med</addtitle><date>2023-02</date><risdate>2023</risdate><volume>89</volume><issue>2</issue><spage>738</spage><epage>745</epage><pages>738-745</pages><issn>0740-3194</issn><eissn>1522-2594</eissn><abstract>Purpose
To develop a novel 3D abdominal CEST MRI technique at 3 T using MR multitasking, which enables entire‐liver coverage with free‐breathing acquisition.
Methods
k‐Space data were continuously acquired with repetitive steady‐state CEST (ss‐CEST) modules. The stack‐of‐stars acquisition pattern was used for k‐space sampling. MR multitasking was used to reconstruct motion‐resolved 3D CEST images of 53 frequency offsets with entire‐liver coverage and 2.0 × 2.0 × 6.0 mm3 spatial resolution. The total scan time was 9 min. The sensitivity of amide proton transfer (APT)‐CEST (magnetization transfer asymmetry [MTRasym] at 3.5 ppm) and glycogen CEST (glycoCEST) (mean MTRasym around 1.0 ppm) signals generated with the proposed method were tested with fasting experiments.
Results
Both APT‐CEST and glycoCEST signals showed high sensitivity between post‐fasting and post‐meal acquisitions. APT‐CEST and glycoCEST MTRasym signals from post‐mean scans were significantly increased (APT‐CEST: −0.019 ± 0.017 in post‐fasting scans, 0.014 ± 0.021 in post‐meal scans, p < 0.01; glycoCEST: 0.003 ± 0.009 in post‐fasting scans, 0.027 ± 0.021 in post‐meal scans, p < 0.01).
Conclusion
The proposed 3D abdominal steady‐state CEST method using MR multitasking can generate CEST images of the entire liver during free breathing.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>36161668</pmid><doi>10.1002/mrm.29470</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3739-3103</orcidid><orcidid>https://orcid.org/0000-0002-7616-8083</orcidid><orcidid>https://orcid.org/0000-0002-9334-8684</orcidid><orcidid>https://orcid.org/0000-0001-8532-9339</orcidid></addata></record> |
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| ispartof | Magnetic resonance in medicine, 2023-02, Vol.89 (2), p.738-745 |
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| source | Wiley-Blackwell Read & Publish Collection |
| subjects | Amides APT chemical exchange saturation transfer Data acquisition Fasting Glycogen Glycogens Humans Image reconstruction Imaging, Three-Dimensional Liver Liver - diagnostic imaging Magnetic resonance imaging Magnetic Resonance Imaging - methods MR multitasking Multitasking Protons Sensitivity Spatial discrimination Spatial resolution steady‐state CEST Three dimensional motion |
| title | Free‐breathing 3D CEST MRI of human liver at 3.0 T |
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