Paper Info
Title
The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality
Abstract
In the modern biomedical image reconstruction literature, the quality of a reconstructed image is often numerically quantified using scalar error measures such as mean-squared error or the structural similarity index. While such measures provide a rough summary of image quality, they also suffer from well-known limitations. For example, a substantial amount of information is necessarily lost whenever the characteristics of a high-dimensional image are summarized by a single number. In this work, we introduce the Fourier radial Error Spectrum Plot (ESP), which provides a novel and more nuanced assessment of error by decomposing the error into its different spatial frequency components. The usefulness of ESP is illustrated in the context of MRI reconstruction from under-sampled data. In addition, we demonstrate that the extra dimension of insight provided by ESP can be used to improve the performance of existing image reconstruction techniques.
Year
DOI
Venue
2018
10.1109/ISBI.2018.8363523
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
Keywords
Field
DocType
Image quality assessment,image reconstruction,constrained MRI
Iterative reconstruction,Computer vision,Pattern recognition,Computer science,Scalar (physics),Image quality,Fourier transform,Artificial intelligence,Spatial frequency
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-5386-3637-4
1
PageRank 
References 
Authors
0.35
0
2
Name
Order
Citations
PageRank
Tae Hyung Kim131.39
Justin P. Haldar235035.40