Ultrashort echo time and zero echo time MRI at 7T
Objective Zero echo time (ZTE) and ultrashort echo time (UTE) pulse sequences for MRI offer unique advantages of being able to detect signal from rapidly decaying short-T2 tissue components. In this paper, we applied 3D ZTE and UTE pulse sequences at 7T to assess differences between these methods. M...
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creator | Larson, Peder E. Z. Han, Misung Krug, Roland Jakary, Angela Nelson, Sarah J. Vigneron, Daniel B. Henry, Roland G. McKinnon, Graeme Kelley, Douglas A. C. |
description | Objective
Zero echo time (ZTE) and ultrashort echo time (UTE) pulse sequences for MRI offer unique advantages of being able to detect signal from rapidly decaying short-T2 tissue components. In this paper, we applied 3D ZTE and UTE pulse sequences at 7T to assess differences between these methods.
Materials and methods
We matched the ZTE and UTE pulse sequences closely in terms of readout trajectories and image contrast. Our ZTE used the water- and fat-suppressed solid-state proton projection imaging method to fill the center of k-space. Images from healthy volunteers obtained at 7T were compared qualitatively, as well as with SNR and CNR measurements for various ultrashort, short, and long-T2 tissues.
Results
We measured nearly identical contrast-to-noise and signal-to-noise ratios (CNR/SNR) in similar scan times between the two approaches for ultrashort, short, and long-T2 components in the brain, knee and ankle. In our protocol, we observed gradient fidelity artifacts in UTE, and our chosen flip angle and readout also resulted in shading artifacts in ZTE due to inadvertent spatial selectivity. These can be corrected by advanced reconstruction methods or with different chosen protocol parameters.
Conclusion
The applied ZTE and UTE pulse sequences achieved similar contrast and SNR efficiency for volumetric imaging of ultrashort-T2 components. Key differences include that ZTE is limited to volumetric imaging, but has substantially reduced acoustic noise levels during the scan. Meanwhile, UTE has higher acoustic noise levels and greater sensitivity to gradient fidelity, but offers more flexibility in image contrast and volume selection. |
doi_str_mv | 10.1007/s10334-015-0509-0 |
format | Article |
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Zero echo time (ZTE) and ultrashort echo time (UTE) pulse sequences for MRI offer unique advantages of being able to detect signal from rapidly decaying short-T2 tissue components. In this paper, we applied 3D ZTE and UTE pulse sequences at 7T to assess differences between these methods.
Materials and methods
We matched the ZTE and UTE pulse sequences closely in terms of readout trajectories and image contrast. Our ZTE used the water- and fat-suppressed solid-state proton projection imaging method to fill the center of k-space. Images from healthy volunteers obtained at 7T were compared qualitatively, as well as with SNR and CNR measurements for various ultrashort, short, and long-T2 tissues.
Results
We measured nearly identical contrast-to-noise and signal-to-noise ratios (CNR/SNR) in similar scan times between the two approaches for ultrashort, short, and long-T2 components in the brain, knee and ankle. In our protocol, we observed gradient fidelity artifacts in UTE, and our chosen flip angle and readout also resulted in shading artifacts in ZTE due to inadvertent spatial selectivity. These can be corrected by advanced reconstruction methods or with different chosen protocol parameters.
Conclusion
The applied ZTE and UTE pulse sequences achieved similar contrast and SNR efficiency for volumetric imaging of ultrashort-T2 components. Key differences include that ZTE is limited to volumetric imaging, but has substantially reduced acoustic noise levels during the scan. Meanwhile, UTE has higher acoustic noise levels and greater sensitivity to gradient fidelity, but offers more flexibility in image contrast and volume selection.</description><identifier>ISSN: 0968-5243</identifier><identifier>EISSN: 1352-8661</identifier><identifier>DOI: 10.1007/s10334-015-0509-0</identifier><identifier>PMID: 26702940</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Acoustic noise ; Acoustics ; Algorithms ; Ankle - diagnostic imaging ; Biomedical Engineering and Bioengineering ; Brain - diagnostic imaging ; Brain Mapping - methods ; Computer Appl. in Life Sciences ; Contrast Media - chemistry ; Health Informatics ; Healthy Volunteers ; Humans ; Image contrast ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image Processing, Computer-Assisted ; Imaging ; Knee - diagnostic imaging ; Magnetic resonance ; Magnetic Resonance Imaging ; Medicine ; Medicine & Public Health ; Multiple Sclerosis - diagnostic imaging ; Multiple Sclerosis - physiopathology ; Phantoms, Imaging ; Radiology ; Reconstruction ; Research Article ; Signal-To-Noise Ratio ; Solid State Physics ; Three dimensional</subject><ispartof>Magma (New York, N.Y.), 2016-06, Vol.29 (3), p.359-370</ispartof><rights>ESMRMB 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c574t-76822b3324c028a135a20474424258543cf0032c5733fd7ea1acc7c9d9eb74cd3</citedby><cites>FETCH-LOGICAL-c574t-76822b3324c028a135a20474424258543cf0032c5733fd7ea1acc7c9d9eb74cd3</cites><orcidid>0000-0003-4183-3634</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10334-015-0509-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10334-015-0509-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,315,781,785,886,27929,27930,41493,42562,51324</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26702940$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Larson, Peder E. Z.</creatorcontrib><creatorcontrib>Han, Misung</creatorcontrib><creatorcontrib>Krug, Roland</creatorcontrib><creatorcontrib>Jakary, Angela</creatorcontrib><creatorcontrib>Nelson, Sarah J.</creatorcontrib><creatorcontrib>Vigneron, Daniel B.</creatorcontrib><creatorcontrib>Henry, Roland G.</creatorcontrib><creatorcontrib>McKinnon, Graeme</creatorcontrib><creatorcontrib>Kelley, Douglas A. C.</creatorcontrib><title>Ultrashort echo time and zero echo time MRI at 7T</title><title>Magma (New York, N.Y.)</title><addtitle>Magn Reson Mater Phy</addtitle><addtitle>MAGMA</addtitle><description>Objective
Zero echo time (ZTE) and ultrashort echo time (UTE) pulse sequences for MRI offer unique advantages of being able to detect signal from rapidly decaying short-T2 tissue components. In this paper, we applied 3D ZTE and UTE pulse sequences at 7T to assess differences between these methods.
Materials and methods
We matched the ZTE and UTE pulse sequences closely in terms of readout trajectories and image contrast. Our ZTE used the water- and fat-suppressed solid-state proton projection imaging method to fill the center of k-space. Images from healthy volunteers obtained at 7T were compared qualitatively, as well as with SNR and CNR measurements for various ultrashort, short, and long-T2 tissues.
Results
We measured nearly identical contrast-to-noise and signal-to-noise ratios (CNR/SNR) in similar scan times between the two approaches for ultrashort, short, and long-T2 components in the brain, knee and ankle. In our protocol, we observed gradient fidelity artifacts in UTE, and our chosen flip angle and readout also resulted in shading artifacts in ZTE due to inadvertent spatial selectivity. These can be corrected by advanced reconstruction methods or with different chosen protocol parameters.
Conclusion
The applied ZTE and UTE pulse sequences achieved similar contrast and SNR efficiency for volumetric imaging of ultrashort-T2 components. Key differences include that ZTE is limited to volumetric imaging, but has substantially reduced acoustic noise levels during the scan. Meanwhile, UTE has higher acoustic noise levels and greater sensitivity to gradient fidelity, but offers more flexibility in image contrast and volume selection.</description><subject>Acoustic noise</subject><subject>Acoustics</subject><subject>Algorithms</subject><subject>Ankle - diagnostic imaging</subject><subject>Biomedical Engineering and Bioengineering</subject><subject>Brain - diagnostic imaging</subject><subject>Brain Mapping - methods</subject><subject>Computer Appl. in Life Sciences</subject><subject>Contrast Media - chemistry</subject><subject>Health Informatics</subject><subject>Healthy Volunteers</subject><subject>Humans</subject><subject>Image contrast</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging</subject><subject>Knee - diagnostic imaging</subject><subject>Magnetic resonance</subject><subject>Magnetic Resonance Imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Multiple Sclerosis - diagnostic imaging</subject><subject>Multiple Sclerosis - physiopathology</subject><subject>Phantoms, Imaging</subject><subject>Radiology</subject><subject>Reconstruction</subject><subject>Research Article</subject><subject>Signal-To-Noise Ratio</subject><subject>Solid State Physics</subject><subject>Three dimensional</subject><issn>0968-5243</issn><issn>1352-8661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkU1LAzEURYMotlZ_gBuZpZvRl69JshFE_ChUBGnXIc2k7ZTppCZTQX-9Ka2lbtRVIO_kcl8OQucYrjCAuI4YKGU5YJ4DB5XDAepiykkuiwIfoi6oQuacMNpBJzHOAQjmQI9RhxQCiGLQRXhUt8HEmQ9t5uzMZ221cJlpyuzTBb939fzaz0ybieEpOpqYOrqz7dlDo4f74d1TPnh57N_dDnLLBWtzUUhCxpQSZoFIk2oZAkwwRhjhkjNqJwCUJJjSSSmcwcZaYVWp3FgwW9IeutnkLlfjhSuta1LRWi9DtTDhQ3tT6Z-TpprpqX_XTCqiBEsBl9uA4N9WLrZ6UUXr6to0zq-ixpJwVkilxD9QkAXnIv33n6hQVCUjxboA3qA2-BiDm-zKY9BrgXojUCdcrwXqdfzF_ta7F9_GEkA2QEyjZuqCnvtVaJKJX1K_AEKrot0</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Larson, Peder E. Z.</creator><creator>Han, Misung</creator><creator>Krug, Roland</creator><creator>Jakary, Angela</creator><creator>Nelson, Sarah J.</creator><creator>Vigneron, Daniel B.</creator><creator>Henry, Roland G.</creator><creator>McKinnon, Graeme</creator><creator>Kelley, Douglas A. C.</creator><general>Springer Berlin Heidelberg</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>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7U5</scope><scope>L7M</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4183-3634</orcidid></search><sort><creationdate>20160601</creationdate><title>Ultrashort echo time and zero echo time MRI at 7T</title><author>Larson, Peder E. Z. ; Han, Misung ; Krug, Roland ; Jakary, Angela ; Nelson, Sarah J. ; Vigneron, Daniel B. ; Henry, Roland G. ; McKinnon, Graeme ; Kelley, Douglas A. C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c574t-76822b3324c028a135a20474424258543cf0032c5733fd7ea1acc7c9d9eb74cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Acoustic noise</topic><topic>Acoustics</topic><topic>Algorithms</topic><topic>Ankle - diagnostic imaging</topic><topic>Biomedical Engineering and Bioengineering</topic><topic>Brain - diagnostic imaging</topic><topic>Brain Mapping - methods</topic><topic>Computer Appl. in Life Sciences</topic><topic>Contrast Media - chemistry</topic><topic>Health Informatics</topic><topic>Healthy Volunteers</topic><topic>Humans</topic><topic>Image contrast</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image Processing, Computer-Assisted</topic><topic>Imaging</topic><topic>Knee - diagnostic imaging</topic><topic>Magnetic resonance</topic><topic>Magnetic Resonance Imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Multiple Sclerosis - diagnostic imaging</topic><topic>Multiple Sclerosis - physiopathology</topic><topic>Phantoms, Imaging</topic><topic>Radiology</topic><topic>Reconstruction</topic><topic>Research Article</topic><topic>Signal-To-Noise Ratio</topic><topic>Solid State Physics</topic><topic>Three dimensional</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Larson, Peder E. Z.</creatorcontrib><creatorcontrib>Han, Misung</creatorcontrib><creatorcontrib>Krug, Roland</creatorcontrib><creatorcontrib>Jakary, Angela</creatorcontrib><creatorcontrib>Nelson, Sarah J.</creatorcontrib><creatorcontrib>Vigneron, Daniel B.</creatorcontrib><creatorcontrib>Henry, Roland G.</creatorcontrib><creatorcontrib>McKinnon, Graeme</creatorcontrib><creatorcontrib>Kelley, Douglas A. C.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Magma (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Larson, Peder E. Z.</au><au>Han, Misung</au><au>Krug, Roland</au><au>Jakary, Angela</au><au>Nelson, Sarah J.</au><au>Vigneron, Daniel B.</au><au>Henry, Roland G.</au><au>McKinnon, Graeme</au><au>Kelley, Douglas A. C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Ultrashort echo time and zero echo time MRI at 7T</atitle><jtitle>Magma (New York, N.Y.)</jtitle><stitle>Magn Reson Mater Phy</stitle><addtitle>MAGMA</addtitle><date>2016-06-01</date><risdate>2016</risdate><volume>29</volume><issue>3</issue><spage>359</spage><epage>370</epage><pages>359-370</pages><issn>0968-5243</issn><eissn>1352-8661</eissn><abstract>Objective
Zero echo time (ZTE) and ultrashort echo time (UTE) pulse sequences for MRI offer unique advantages of being able to detect signal from rapidly decaying short-T2 tissue components. In this paper, we applied 3D ZTE and UTE pulse sequences at 7T to assess differences between these methods.
Materials and methods
We matched the ZTE and UTE pulse sequences closely in terms of readout trajectories and image contrast. Our ZTE used the water- and fat-suppressed solid-state proton projection imaging method to fill the center of k-space. Images from healthy volunteers obtained at 7T were compared qualitatively, as well as with SNR and CNR measurements for various ultrashort, short, and long-T2 tissues.
Results
We measured nearly identical contrast-to-noise and signal-to-noise ratios (CNR/SNR) in similar scan times between the two approaches for ultrashort, short, and long-T2 components in the brain, knee and ankle. In our protocol, we observed gradient fidelity artifacts in UTE, and our chosen flip angle and readout also resulted in shading artifacts in ZTE due to inadvertent spatial selectivity. These can be corrected by advanced reconstruction methods or with different chosen protocol parameters.
Conclusion
The applied ZTE and UTE pulse sequences achieved similar contrast and SNR efficiency for volumetric imaging of ultrashort-T2 components. Key differences include that ZTE is limited to volumetric imaging, but has substantially reduced acoustic noise levels during the scan. Meanwhile, UTE has higher acoustic noise levels and greater sensitivity to gradient fidelity, but offers more flexibility in image contrast and volume selection.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>26702940</pmid><doi>10.1007/s10334-015-0509-0</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4183-3634</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Acoustic noise Acoustics Algorithms Ankle - diagnostic imaging Biomedical Engineering and Bioengineering Brain - diagnostic imaging Brain Mapping - methods Computer Appl. in Life Sciences Contrast Media - chemistry Health Informatics Healthy Volunteers Humans Image contrast Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image Processing, Computer-Assisted Imaging Knee - diagnostic imaging Magnetic resonance Magnetic Resonance Imaging Medicine Medicine & Public Health Multiple Sclerosis - diagnostic imaging Multiple Sclerosis - physiopathology Phantoms, Imaging Radiology Reconstruction Research Article Signal-To-Noise Ratio Solid State Physics Three dimensional |
title | Ultrashort echo time and zero echo time MRI at 7T |
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