Search This Blog
Friday, June 9, 2017
Thursday, June 8, 2017
New Dynamic model was implemented:
"Variable Flip Angle T1 recovery S = M0*(1-exp(-TR/T1))*sina(A)/(1-exp(-TR/T1)/cos(A)) "
It appears as the model #24 on the FireVoxel Dynamic Experiment Framework
Model has 2 hyperparameters defining the Local optimization as in Deoni2003 and FireVoxel global optimization. In case of the Global optimization we also can set the # of iterations, but it can be kept default.
There are 3 output parameters: T1 (ms), M0 and fitting residual.
To test the model a Brain ROI (mask) was detected on the max signal timepoint using the standard EdgeWave algorithm and parameters.
We ran algorithm with both linear and global optimization and found out that global optimization finds a 20% smaller residual on average, while reducing the Max residual by x2.5 times.
The following T1 map was obtained:
... with the corresponding Fitting Residual map
Typical fitting for a single voxel looks like this:
For this particular fitting:
Linear Optimization: T1 = 1238 ms
Global Optimization: T1 = 12.64 ms
i.e. about ~3% difference
"Variable Flip Angle T1 recovery S = M0*(1-exp(-TR/T1))*sina(A)/(1-exp(-TR/T1)/cos(A)) "
It appears as the model #24 on the FireVoxel Dynamic Experiment Framework
Model has 2 hyperparameters defining the Local optimization as in Deoni2003 and FireVoxel global optimization. In case of the Global optimization we also can set the # of iterations, but it can be kept default.
There are 3 output parameters: T1 (ms), M0 and fitting residual.
To test the model a Brain ROI (mask) was detected on the max signal timepoint using the standard EdgeWave algorithm and parameters.
We ran algorithm with both linear and global optimization and found out that global optimization finds a 20% smaller residual on average, while reducing the Max residual by x2.5 times.
![]() |
| Residual statistics for Linear optimization: Mean=12.1, Max=215.8 |
![]() |
| Residual statistics for the Global Optimazation: Mean=10.4 Max=97.5 |
The following T1 map was obtained:
... with the corresponding Fitting Residual map
Typical fitting for a single voxel looks like this:
For this particular fitting:
Linear Optimization: T1 = 1238 ms
Global Optimization: T1 = 12.64 ms
i.e. about ~3% difference
Wednesday, June 7, 2017
Thursday, June 1, 2017
1. Integrated Variable Flip Angle as the new dynamic dimension. This would allow corresponding VFA volumes to be processed inside the parametric modelling framework.
2. Provided backward compatibility for all existing FVX document files (v1-v5) and v6 format was introduced.
3. Ensured the ABT test is completing correctly since it is using old file formats.
2. Provided backward compatibility for all existing FVX document files (v1-v5) and v6 format was introduced.
3. Ensured the ABT test is completing correctly since it is using old file formats.
Tuesday, May 23, 2017
Monday, May 22, 2017
Friday, May 19, 2017
Thursday, May 18, 2017
Wednesday, May 10, 2017
Tuesday, May 9, 2017
Subscribe to:
Posts (Atom)







