Noise propagation in region of interest measurements. Issue 3 (13th March 2014)

• Record Type: Journal Article
• Authors: Hansen, Michael S.; Inati, Souheil J.; Kellman, Peter
• Is Part Of: Magnetic resonance in medicine. Volume 73:Issue 3(2015:Mar.)
• Page Start: 1300
• Page End: 1308
• Publication Date: 2014-03-13
• Subjects: Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.25194
• Languages: English
• ISSNs: 0740-3194

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="mrm25194-sec-0001" sec-type="section"> <title>Purpose</title> <p>The purpose of this work was to develop and validate a technique for predicting the standard deviation (SD) associated with thermal noise propagation in region of interest measurements.</p> </sec> <sec id="mrm25194-sec-0002" sec-type="section"> <title>Theory and Methods</title> <p>Standard methods for error propagation estimation were used to derive equations for the SDs of linear combinations of complex, magnitude, or phase pixel values. The equations were applied to common imaging scenarios in which the image pixels were correlated due to anisotropic pixel resolutions and parallel imaging. All SD estimates were evaluated efficiently using only vector–vector multiplications and Fourier transforms. The estimated SDs were compared to those obtained using repeated experiments and pseudo replica reconstructions.</p> </sec> <sec id="mrm25194-sec-0003" sec-type="section"> <title>Results</title> <p>The proposed method was able to predict region of interest SDs in all the tested analysis scenarios. Positive and negative noise correlations caused by different parallel‐imaging aliasing point spread functions were accurately predicted, and the method predicted the confidence intervals (CI) of time‐intensity curves for in vivo cardiac perfusion measurements.</p> </sec> <sec id="mrm25194-sec-0004" sec-type="section"> <title>Conclusion</title> <p>An intuitive technique for region of interest CIs was developed and validated using phantom experiments and in vivo data. <bold>Magn Reson Med 73:1300–1308, 2015. © 2014 Wiley Periodicals, Inc.</bold></p> </sec> </abstract>