Signal‐to‐Noise Ratio as a Function of Imaging Parameters
dc.contributor.author | Celik, Azim | |
dc.contributor.author | Lin, Weili | |
dc.date.accessioned | 2018-08-13T18:51:34Z | |
dc.date.available | 2018-08-13T18:51:34Z | |
dc.date.issued | 2002-03 | |
dc.identifier.citation | Celik, Azim; Lin, Weili (2002). "Signal‐to‐Noise Ratio as a Function of Imaging Parameters." Current Protocols in Magnetic Resonance Imaging 4(1): B6.2.1-B6.2.9. | |
dc.identifier.issn | 2572-5637 | |
dc.identifier.issn | 2572-5637 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/145331 | |
dc.description.abstract | Signal‐to‐Noise Ratio as a Function of Imaging Parameters (Azim Celik, General Electric Company, Milwaukee, Wisconsin and Weili Lin, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina). The degree to which noise affects a measurement is generally characterized by the signal‐to‐noise ratio (SNR, as measured by the ratio of the voxel signal to the noise standard deviation). This unit describes the importance of SNR in describing image quality. SNR is the key parameter for determining the quality of any given imaging experiment. If the SNR is not high enough, it becomes impossible to differentiate tissues from one another or the background. The dependence of SNR on imaging parameters such as the number of repetitions, the number of k‐space samples (Nx, Ny, and Nz), the readout bandwidth, and voxel dimensions (Dx, Dy, and Dz) is explained in detail. | |
dc.publisher | John Wiley & Sons | |
dc.title | Signal‐to‐Noise Ratio as a Function of Imaging Parameters | |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Family Medicine and Primary Care | |
dc.subject.hlbsecondlevel | Radiology | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | https://deepblue.lib.umich.edu/bitstream/2027.42/145331/1/cpmib0602.pdf | |
dc.identifier.doi | 10.1002/0471142719.mib0602s04 | |
dc.identifier.source | Current Protocols in Magnetic Resonance Imaging | |
dc.identifier.citedreference | Escanyé, J.M., Canet, D., and Robert, J. 1982. Frequency dependence of water proton longitudinal nuclear magnetic relaxation times in mouse tissues at 20°C. Biochim. Biophys. Acta 721: 305. | |
dc.identifier.citedreference | Haacke, E.M., Brown, R.W., Thompson, M.R., and Venkatesan, R. 1999. Magnetic Resonance Imaging: Physical Principles and Sequence Design. John Wiley & Sons, New York. | |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.