Work

Noise propagation in region of interest measurements

Year: 2014

Type: article

Abstract: PURPOSE: 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. THEORY AND METHODS: 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. RESULTS: 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. CONCLUSION: An intuitive technique for region of interest CIs was developed and validated using phantom experiments and in vivo data.

Source: Magnetic Resonance in Medicine

DOI: 10.1002/mrm.25194

Authors: Michael S. Hansen, Souheil J. Inati, Peter Kellman

Institutions: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, National Institute of Mental Health