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

Vincent A Magnotta; Lee Friedman

doi:10.1007/s10278-006-0264-x

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

Journal article

Open access

Peer reviewed

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

Vincent A Magnotta and Lee Friedman

Journal of digital imaging, Vol.19(2), pp.140-147

06/2006

DOI: 10.1007/s10278-006-0264-x

PMCID: PMC3045184

PMID: 16598643

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https://doi.org/10.1007/s10278-006-0264-xView

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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).

Magnetic Resonance Imaging - instrumentation

Analysis of Variance

Image Processing, Computer-Assisted

Magnetic Resonance Imaging - standards

Humans

Signal Processing, Computer-Assisted

Brain Mapping - methods

Details

Title: Subtitle: Measurement of Signal-to-Noise and Contrast-to-Noise in the fBIRN Multicenter Imaging Study
Creators: Vincent A Magnotta - Department of Radiology, University of Iowa, 0453-D JCP, Iowa City, IA 52242, USA. vincent-magnotta@uiowa.edu
Lee Friedman
Resource Type: Journal article
Publication Details: Journal of digital imaging, Vol.19(2), pp.140-147
Publisher: United States
DOI: 10.1007/s10278-006-0264-x
PMID: 16598643
PMCID: PMC3045184
ISSN: 0897-1889
eISSN: 1618-727X
Grant note: P41 RR013218 / NCRR NIH HHS P41RR13218 / NCRR NIH HHS
Language: English
Date published: 06/2006
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Psychiatry; Iowa Neuroscience Institute
Record Identifier: 9984051790502771

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