@@ -51,6 +51,7 @@ There are 4 visualisation panels:
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@@ -51,6 +51,7 @@ There are 4 visualisation panels:
2. Sensitivity to diffusion time
2. Sensitivity to diffusion time
3. Sensitivity to orientation
3. Sensitivity to orientation
4. Sensitivity to parameter changes
4. Sensitivity to parameter changes
Panels 1,2 and 4 show a figure for signal changes as a function of b-value, diffusion time, and model parameters respectively. They also show a figure for changes in commonly used tensor-based parameters (FA and MD). The signal plot by default is the spherical-mean technique (i.e. averaged signal over all 3D orientations), unless this is modified through the control panels (see below).
Panels 1,2 and 4 show a figure for signal changes as a function of b-value, diffusion time, and model parameters respectively. They also show a figure for changes in commonly used tensor-based parameters (FA and MD). The signal plot by default is the spherical-mean technique (i.e. averaged signal over all 3D orientations), unless this is modified through the control panels (see below).
Visualisation panel 3 show the signal as a function of gradient orientation in two different ways: either as a function of the angle w.r.t. an orientation specified in the control panels (below), or as a 3D glyph.
Visualisation panel 3 show the signal as a function of gradient orientation in two different ways: either as a function of the angle w.r.t. an orientation specified in the control panels (below), or as a 3D glyph.
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@@ -58,10 +59,18 @@ Visualisation panel 3 show the signal as a function of gradient orientation in t
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@@ -58,10 +59,18 @@ Visualisation panel 3 show the signal as a function of gradient orientation in t
- Control panels
- Control panels
Finally, there are 4 controls panels:
Finally, there are 4 controls panels:
1. Acquisition: specify an acquisition scheme by either selecting amongst pre-defined ones or loading text files. Once a scheme is chosen, click on 'Display scatter' to see the predicted data. Click on 'Save scatter' to save the data into a CSV file.
1. Acquisition:
2. Shells: modify the b-value/diffusion time/gradient amplitude/gradient duration. This affects all the signal plots except for those where b-value/diffusion time appear along the x-axis.
3. Noise: add noise to the scattered data. This only affects the scattered data following the acquisition scheme defined in panel (1), not the continuous signal predictions.
specify an acquisition scheme by either selecting amongst pre-defined ones or loading text files. Once a scheme is chosen, click on 'Display scatter' to see the predicted data. Click on 'Save scatter' to save the data into a CSV file.
4. Axis: perform operations that affect the x and y axes of the plots. User can choose to apply one of predefined operations to the axes (e.g. to look at log-signal instead of signal), or can modify the reference orientation of the signal v angle plot (see visualisation panel 4)
2. Shells:
modify the b-value/diffusion time/gradient amplitude/gradient duration. This affects all the signal plots except for those where b-value/diffusion time appear along the x-axis.
3. Noise:
add noise to the scattered data. This only affects the scattered data following the acquisition scheme defined in panel (1), not the continuous signal predictions.
4. Axis:
perform operations that affect the x and y axes of the plots. User can choose to apply one of predefined operations to the axes (e.g. to look at log-signal instead of signal), or can modify the reference orientation of the signal v angle plot (see visualisation panel 4)
