Skip to main content
. 2019 Sep 4;19(3):195–206. doi: 10.2463/mrms.mp.2019-0018

Table 2.

Scoring of criteria used for evaluation of conventional and deep learning-based reconstruction (dDLR) images

Sore Perceived signal-to-noise ratio Image contrast* Image sharpness Identification of hippocampal layer structure Artifacts disturbing evaluation Overall image quality
1 Too noisy One of the structures is not separated. Poor Obscure Severe Poor
2 Noise has an adverse effect on interpretation All of the structures are separated, but the contrast is weak. Fair Partially identified Moderate Fair
3 No adverse effect for interpretation All of the structures are mostly separated. Good Mostly identified Mild Good
4 Little or no noticeable noise All of the structures are clearly separated. Excellent Entirely identified Little or none Excellent
*

Differentiation between cerebral spinal fluid (CSF), cerebral cortex, white matter, and basal ganglia.