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Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study

Identifieur interne : 000010 ( Ncbi/Merge ); précédent : 000009; suivant : 000011

Measurement 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.

RBID : PMC:3045184

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 T₂-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).

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3045184

DOI: 10.1007/s10278-006-0264-x
PubMed: 16598643
PubMed Central: 3045184

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PMC:3045184

Le document en format XML

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<author><name sortKey="Magnotta, Vincent A" sort="Magnotta, Vincent A" uniqKey="Magnotta V" first="Vincent A." last="Magnotta">Vincent A. Magnotta</name>
<affiliation wicri:level="2"><nlm:aff id="Aff1">Department of Radiology, University of Iowa, 0453-D JCP, Iowa City, IA 52242 USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<placeName><region type="state">Iowa</region>
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<wicri:cityArea>Department of Radiology, University of Iowa, 0453-D JCP, Iowa City</wicri:cityArea>
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<author><name sortKey="Friedman, Lee" sort="Friedman, Lee" uniqKey="Friedman L" first="Lee" last="Friedman">Lee Friedman</name>
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<placeName><region type="state">Nouveau-Mexique</region>
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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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  <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="epub">1618-727X</issn>
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<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>
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<email>vincent-magnotta@uiowa.edu</email>
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<contrib contrib-type="author"><name><surname>Friedman</surname>
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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>
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<pub-date pub-type="epub"><day>10</day>
<month>3</month>
<year>2006</year>
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<pub-date pub-type="ppub"><month>6</month>
<year>2006</year>
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<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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Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study

Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study

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Abstract

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