Image reconstruction in SNR units: A general method for SNR measurement †

By Peter Kellman, Elliot R. McVeigh. Magnetic Resonance in Medicine, 2005

554 citations recorded by the source corpus.

The method for phased array image reconstruction of uniform noise images may be used in conjunction with proper image scaling as a means of reconstructing images directly in SNR units. This facilitates accurate and precise SNR measurement on a per pixel basis. This method is applicable to root‐sum‐of‐squares magnitude combining, B1‐weighted combining, and parallel imaging such as SENSE. A procedure for image reconstruction and scaling is presented, and the method for SNR measurement is validated with phantom data. Alternative methods that rely on noise only regions are not appropriate for parallel imaging where the noise level is highly variable across the field‐of‐view. The purpose of this article is to provide a nuts and bolts procedure for calculating scale factors used for reconstructing images directly in SNR units. The procedure includes scaling for noise equivalent bandwidth of digital receivers, FFTs and associated window functions (raw data filters), and array combining. Magn Reson Med, 2005. Published 2005 Wiley‐Liss, Inc.

Subfields: Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/4848422fecabb0922c0601bdd505049348f016db

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Measurement of signal‐to‐noise ratios in MR images: Influence of multichannel coils, parallel imaging, and reconstruction filters (2007, background): “If images are reconstructed in “SNR units,” as suggested by Kellman and McVeigh (23), SNR determination becomes trivial, since the pixel intensities directly represent the SNR, and thus the SNR can be determined for a single pixel or an ROI simply by measuring the pixel intensity SNRunits(r) Sunits ”
Advances in diffusion MRI acquisition and processing in the Human Connectome Project (2013, methodology): “Images have been reconstructed in SNR units (Kellman and McVeigh, 2005).”
Complex diffusion-weighted image estimation via matrix recovery under general noise models (2018, unknown): “Normalization by this matrix has been previously proposed as the reconstruction in SNR units (Kellman and McVeigh, 2005) and, for accelerated acquisitions, the ratio between σqU ,qU and σq corresponds to the g-factor times the square root of the sampling ratio at voxel q (Pruessmann et al.”
4D flow cardiovascular magnetic resonance consensus statement (2015, methodology): “Further work is required to understand the impact of noise, and we recommend the method of pseudo replicas [179, 180] to study and assess SNR and VNR dependencies and noise propagation.”