Update susceptibility figure with a different brain dataset (#19)

* Modify text according to the new dataset used in the figure * Modified susceptibility figure * Reorient brain, move dropdown * Try test build on live * Built notebook --------- Co-authored-by: Mathieu Boudreau <[email protected]>
qMRLab · Jan 15, 2025 · 8234673 · 8234673
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diff --git a/4 B1 Mapping/02-Actual Flip Angle Imaging/02-SignalModeling.md b/4 B1 Mapping/02-Actual Flip Angle Imaging/02-SignalModeling.md
@@ -41,7 +41,7 @@ M_{z2}=M_{0}\frac{1-e^{\frac{-\text{TR}_{1}}{_{T_{1}}}}+\left( 1- e^{\frac{-\tex
 \end{equation}
 ```
 
-Mz{sub}`1,2` is the longitudinal magnetization of both pulses, M0 is the magnetization at thermal equilibrium, TR{sub}`1` is the delay time after the first pulse, TR{sub}`2` is the delay time after the second identical pulse ([](#afiFig1)), and {math}`\theta` is the excitation flip angle. The steady-state longitudinal magnetization Mz curves for different _T_{sub}`1` values for a range of {math}`\theta_{n}` and TR values are shown in [](#afiPlot1).
+Mz{sub}`1,2` is the longitudinal magnetization of both pulses, M0 is the magnetization at thermal equilibrium, TR{sub}`1` is the delay time after the first pulse, TR{sub}`2` is the delay time after the second identical pulse ([](#afiPlot1)), and {math}`\theta` is the excitation flip angle. The steady-state longitudinal magnetization Mz curves for different _T_{sub}`1` values for a range of {math}`\theta_{n}` and TR values are shown in [](#afiPlot1).
 
 ```{figure} #afiFig1jn
 :label: afiPlot1

diff --git a/5 B0 Mapping/1 B0 Inhomogeneities/2-Sources/02-Magnetic susceptibility.md b/5 B0 Mapping/1 B0 Inhomogeneities/2-Sources/02-Magnetic susceptibility.md
@@ -39,6 +39,6 @@ The following figure shows different susceptibility distributions in ppm for a h
 :::{figure} #b0Fig3jn
 :label: b0Plot3
 :enumerator: 5.3
-Cylinder (top) and brain (bottom) of susceptibility distributions (left), simulated _B_{sub}`0` field map (middle) and the _B_{sub}`0` field map with the background field removed (right). An in-vivo susceptibility map was used for the brain and was surrounded by a bone interface, a tissue interface and the rest of the FOV was filled with air. Note that this simplistic representation still shows the field map being dominated by air-tissue interfaces even though the spatial characteristics of the field are not perfectly representative of reality. This dataset was introduced in this publication [@Lusebrink2021-kj] and is publicly available [@Lusebrink2020-iy;@noauthor_undated-ms]. An in-vivo field map can be seen in [](#b0Plot9).
+Cylinder (top) and brain (bottom) of susceptibility distributions (left), simulated _B_{sub}`0` field map (middle) and the _B_{sub}`0` field map with the background field removed (right). An in-vivo susceptibility map was used for the brain and was surrounded with air. Note that this simplistic representation still shows the field map being dominated by air-tissue interfaces even though the spatial characteristics of the field are not perfectly representative of reality. An in-vivo field map can be seen in [](#b0Plot9).
 :::