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

Peter Kellman, Elliot R. McVeigh

Magnetic Resonance in Medicine · 2005 · 520 citations · 18 references

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TL;DR

The method reconstructs uniform noise images in phased array imaging using proper scaling to produce images directly in SNR units, addressing the inadequacy of noise‑only region methods for parallel imaging with variable noise. The article presents a nuts‑and‑bolts procedure for calculating scale factors to reconstruct images directly in SNR units and validates the method with phantom data. The method applies to root‑sum‑of‑squares, B1‑weighted, and SENSE combining, and the procedure scales for noise‑equivalent bandwidth, FFT window functions, and array combining. The approach enables accurate and precise per‑pixel SNR measurement. Published in Magn Reson Med 2005 by Wiley‑Liss, Inc.

Abstract

Abstract 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, B 1 ‐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.

References

18