This raw data was used in a study looking at the correlations between 10 image quality metrics (IQMs) and the subjective image quality scores of expert radiologists. Nine MR images of the abdomin and of the brain were retrospectively degraded by noise, motion, undersampling, compression, and blurring. Each of these images we then evaluated by the radiologists and the IQM scores were calculated. This data set is made up of the radiologists' scores and the IQM scores.

Dataset Files

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[1] Allister Mason, "Image Quality Metrics and Radiologists' Scores", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/qxg1-a814. Accessed: Sep. 18, 2020.
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doi = {10.21227/qxg1-a814},
url = {http://dx.doi.org/10.21227/qxg1-a814},
author = {Allister Mason },
publisher = {IEEE Dataport},
title = {Image Quality Metrics and Radiologists' Scores},
year = {2019} }
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T1 - Image Quality Metrics and Radiologists' Scores
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Allister Mason. (2019). Image Quality Metrics and Radiologists' Scores. IEEE Dataport. http://dx.doi.org/10.21227/qxg1-a814
Allister Mason, 2019. Image Quality Metrics and Radiologists' Scores. Available at: http://dx.doi.org/10.21227/qxg1-a814.
Allister Mason. (2019). "Image Quality Metrics and Radiologists' Scores." Web.
1. Allister Mason. Image Quality Metrics and Radiologists' Scores [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/qxg1-a814
Allister Mason. "Image Quality Metrics and Radiologists' Scores." doi: 10.21227/qxg1-a814