Paper
2 March 2006 Novel SNR determination method in parallel MRI
Tosiaki Miyati, Hiroshi Imai, Akio Ogura, Tsukasa Doi, Toshio Tsuchihashi, Yoshio Machida
Author Affiliations +
Abstract
We devised two kinds of new methods for accurate measurement of the image signal-to-noise ratio (SNR) in parallel magnetic resonance imaging (MRI) because image noise of the parallel MRI was not spatially constant. Using the first (Consecutive) method, more than fifty consecutive scans of the uniform phantom were obtained with identical scan parameters. Then the SNRs in each pixel were calculated from the ratio of mean signal intensity to the standard deviation of the time domain on a pixel-by-pixel. With the second (Remove) method, the phantom was removed after the first scan, and the second scan was done with identical parameters and the RF coil loading device. The SNRs in each pixel were then obtained from the ratio of the signal intensity of the first scan to the second scan (w/o phantom) image which was multiplied by the square root of 2/pi and filtered by the running mean (7 by 7 pixels). Moreover, actual geometry factors were calculated from image SNRs of parallel and no parallel MRI. The image SNR and actual geometry factor of parallel MRI with the Consecutive method agreed with that of the Remove method. The SNRs of the no parallel MRI with the above two methods conformed with that of the conventional SNR method (NEMA standard). Both new methods make it possible to obtain a more detailed determination of SNR in parallel MRI, and to calculate the actual geometry factor.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tosiaki Miyati, Hiroshi Imai, Akio Ogura, Tsukasa Doi, Toshio Tsuchihashi, and Yoshio Machida "Novel SNR determination method in parallel MRI", Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 61423O (2 March 2006); https://doi.org/10.1117/12.653482
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
Signal to noise ratio

Magnetic resonance imaging

Computer programming

Medical imaging

Image filtering

Image quality

Interference (communication)

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