Oops, now with fig 6

paper/paper.md

@@ -68,7 +68,7 @@ An object-oriented interface is provided to allow end users to simply generate l
 
 ![Example quantitative maps and associated layer profiles when `3DQLayers` is applied to ex-vivo transplant kidneys. Uncertainty shading shows the 95% confidence interval of each layer. \label{fig:exvivo_profiles}](example_profiles.png)
 
-![ Agreement between tissue ROI-based measures and analogous layer-based measures shown for fifteen ex-vivo transplant kidneys for each qMRI alongside the Pearsons correlation coefficient ($\rho$). * represents a _p_-value between 0.05 and 0.01, ** between 0.01 and 0.001, and *** < 0.001. a) Plots the median within each tissue ROI (cortex or medulla semi-automatically defined) against the equivalent layers (outer layers and inner layers respectively as highlighted in \autoref{fig:exvivo_profiles}) b) Shows the cortico-medullary ratio (calculated by dividing the median within the cortex ROI by the median within the medullary ROI) against central layer gradient profiles calculated using `3DQLayers`. \label{fig:roi_layers_corr}](roi_layers_corr_labeled.png)
+![ Agreement between tissue ROI-based measures and analogous layer-based measures shown for fifteen ex-vivo transplant kidneys for each qMRI alongside the Pearsons correlation coefficient ($\rho$). * represents a _p_-value between 0.05 and 0.01, ** between 0.01 and 0.001, and *** < 0.001. a) Plots the median within each tissue ROI (cortex or medulla semi-automatically defined) against the equivalent layers (outer layers and inner layers respectively as highlighted in \autoref{fig:exvivo_profiles}) b) Shows the cortico-medullary ratio (calculated by dividing the median within the cortex ROI by the median within the medullary ROI) against central layer gradient profiles calculated using `3DQLayers`. \label{fig:roi_layers_corr}](roi_layers_corr.png)
 
 # Acknowledgements
 We acknowledge the funding support of the ADMIRE project funded through Kidney Research UK (`KS_RP_002_20210111`), and the UKRIN_MAPS project funded by the Medical Research Council (`MR/R02264X/1`), as well as the NIHR Nottingham Biomedical Research Centre during the genesis of this project.