Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study
Identifieur interne : 000713 ( Pmc/Checkpoint ); précédent : 000712; suivant : 000714Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study
Auteurs : Vincent A. Magnotta [États-Unis] ; Lee Friedman [États-Unis]Source :
- Journal of Digital Imaging [ 0897-1889 ] ; 2006.
Abstract
The ability to analyze and merge data across sites, vendors, and field strengths depends on one's ability to acquire images with the same image quality including image smoothness, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). SNR can be used to compare different magnetic resonance scanners as a measure of comparability between the systems. This study looks at the SNR and CNR ratios in structural fast spin-echo
Url:
DOI: 10.1007/s10278-006-0264-x
PubMed: 16598643
PubMed Central: 3045184
Affiliations:
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<front><div type="abstract" xml:lang="en"><p>The ability to analyze and merge data across sites, vendors, and field strengths depends on one's ability to acquire images with the same image quality including image smoothness, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). SNR can be used to compare different magnetic resonance scanners as a measure of comparability between the systems. This study looks at the SNR and CNR ratios in structural fast spin-echo <italic>T</italic>
<sub>2</sub>
-weighted scans acquired in five individuals across ten sites that are part of Functional Imaging Research of Schizophrenia Testbed Biomedical Informatics Research Network (fBIRN). Different manufacturers, field strengths, gradient coils, and RF coils were used at these sites. The SNR of gray matter was fairly uniform (41.3–43.3) across scanners at 1.5 T. The higher field scanners produced images with significantly higher SNR values (44.5–108.7 at 3 T and 50.8 at 4 T). Similar results were obtained for CNR measurements between gray/white matter at 1.5 T (9.5–10.2), again increasing at higher fields (10.1–28.9 at 3 T and 10.9 at 4 T).</p>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front><journal-meta><journal-id journal-id-type="nlm-ta">J Digit Imaging</journal-id>
<journal-title-group><journal-title>Journal of Digital Imaging</journal-title>
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<issn pub-type="ppub">0897-1889</issn>
<issn pub-type="epub">1618-727X</issn>
<publisher><publisher-name>Springer-Verlag</publisher-name>
<publisher-loc>New York</publisher-loc>
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<article-id pub-id-type="publisher-id">10264</article-id>
<article-id pub-id-type="doi">10.1007/s10278-006-0264-x</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study</article-title>
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<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Magnotta</surname>
<given-names>Vincent A.</given-names>
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<address><phone>+1-319-3568255</phone>
<fax>+1-319-3536275</fax>
<email>vincent-magnotta@uiowa.edu</email>
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<xref ref-type="aff" rid="Aff1">1</xref>
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<contrib contrib-type="author"><name><surname>Friedman</surname>
<given-names>Lee</given-names>
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<contrib contrib-type="author"><collab>FIRST BIRN</collab>
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<aff id="Aff1"><label>1</label>
Department of Radiology, University of Iowa, 0453-D JCP, Iowa City, IA 52242 USA</aff>
<aff id="Aff2"><label>2</label>
The MIND Institute, Albuquerque, NM 87106 USA</aff>
<aff id="Aff3"><label>3</label>
Functional Imaging in Schizophrenia Testbed (FIRST) Biomedical Informatics Research Network (BIRN), National Center for Research Resources, Bethesda, MD USA</aff>
</contrib-group>
<pub-date pub-type="epub"><day>10</day>
<month>3</month>
<year>2006</year>
</pub-date>
<pub-date pub-type="ppub"><month>6</month>
<year>2006</year>
</pub-date>
<volume>19</volume>
<issue>2</issue>
<fpage>140</fpage>
<lpage>147</lpage>
<permissions><copyright-statement>© SCAR (Society for Computer Applications in Radiology) 2006</copyright-statement>
</permissions>
<abstract id="Abs1"><p>The ability to analyze and merge data across sites, vendors, and field strengths depends on one's ability to acquire images with the same image quality including image smoothness, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). SNR can be used to compare different magnetic resonance scanners as a measure of comparability between the systems. This study looks at the SNR and CNR ratios in structural fast spin-echo <italic>T</italic>
<sub>2</sub>
-weighted scans acquired in five individuals across ten sites that are part of Functional Imaging Research of Schizophrenia Testbed Biomedical Informatics Research Network (fBIRN). Different manufacturers, field strengths, gradient coils, and RF coils were used at these sites. The SNR of gray matter was fairly uniform (41.3–43.3) across scanners at 1.5 T. The higher field scanners produced images with significantly higher SNR values (44.5–108.7 at 3 T and 50.8 at 4 T). Similar results were obtained for CNR measurements between gray/white matter at 1.5 T (9.5–10.2), again increasing at higher fields (10.1–28.9 at 3 T and 10.9 at 4 T).</p>
</abstract>
<kwd-group><title>Key words</title>
<kwd>Image quality</kwd>
<kwd>signal-to-noise (S/N)</kwd>
<kwd>magnetic resonance imaging (MRI)</kwd>
</kwd-group>
<custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name>
<meta-value>© SCAR (Society for Computer Applications in Radiology) 2006</meta-value>
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<affiliations><list><country><li>États-Unis</li>
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