Work

The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality

Year: 2018

Type: conference-paper

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.

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi.2018.8363523

Authors: Tae Hyung Kim, Justin P. Haldar

Institution: University of Southern California

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering

Awards: G1066422085, G3048631115, Faster MRI with Sparse Sampling and Low-Rank Modeling