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Friday, October 17, 2014
Wednesday, October 15, 2014
Tuesday, October 14, 2014
Friday, October 3, 2014
Sunday, September 28, 2014
FireVoxel Build
156 is released.
1. Gradient withing
URAL-radius to the Volume boundaries are set to 0 to avoid introducing
non-existing features that might steer registration.
2. If one of the
timepoints in registration is binary (as sometimes in hybrid scenario), the
URAL_NORM=Linear is always chosen for that specific timepoint independent of
what norm is specified by the user.
3. MainMenu>Volume>Effective Noise:
corrected the defects, crashes on 4D volumes4. RoiStats3D dialog:
added information about the number of the VOID voxels of the SI-Volume within
the specified ROI.
4. Implemented
the corrections to the Liver DCDI 4D registration parameters.
Implemented the corrections to the Liver DCDI 4D registration parameters. This was to fix example "OV" that had very high contrast enhancement thus failing the registration as high gradient inside the contrast regions were attracting the feature detector.
URAL_UNI measure was employed, with the sigmoid function base of 3*Noise. Automatic noise detection step was added to the registration.
URAL_UNI measure was employed, with the sigmoid function base of 3*Noise. Automatic noise detection step was added to the registration.
Saturday, September 27, 2014
Friday, September 26, 2014
Added corrections to the general registration algorithm for URAL measure:
a) Gradient withing URAL-radius to the Volume boundaries are set to 0 to avoid
introducing non-existing features that might steer registration.
b) If one of the timepoints in registration is binary (as sometimes in hybrid scenario), the URAL_NORM=Linear is always chosen for that specific timepoint independent of what
norm is specified by the user.
a) Gradient withing URAL-radius to the Volume boundaries are set to 0 to avoid
introducing non-existing features that might steer registration.
b) If one of the timepoints in registration is binary (as sometimes in hybrid scenario), the URAL_NORM=Linear is always chosen for that specific timepoint independent of what
norm is specified by the user.
FireVoxel Build 154 is released.
1. Added the BrainCT
workflow (MainMenu>Applications).
Added new function
"BrainCT>Segment Intracranial cavity".
2. EdgeWave dialog: corrected a major UI error. When no
seeds are present, the logic of selecting the Connected Component choices
(radiobuttons) was damaged.
3. Corrected
interface and initial parameters to process the CT-brain scans without leaks.
4. Toft's model (#8):
re-arranged the optimization variables to improve the solution bounds.
5. Introduced a “Balanced solution” concept for
parametric fitting and Toft’s model in particular.
6. Tofts modified
model (k-trans,Ve,Va): implemented changes to model similar to the
regular model.
7. Corrected
defect: Unable to "Crop 4D All Layer" \ "Crop 4D Active
Layer" using the vector ROI.
8. Added ABT
subtest for "Tofts modified (K-trans,Ve,Va)" model.
9. Fixed major
bug in registration of real-valued volumes (=PET).Monday, September 22, 2014
Tofts model (but general issue important to all models, incl. Eric's IVIM), this problem originated in Henry's report of very high Ve (>18000) in particular ROI fit.
During the parameter fitting, there might be numerous solutions (both voxelwise and Single ROI), whose Minimization Cost differ by the miniscule amount (<0.01 in relative terms of Absolute Minimum Cost).
We "Balance" the solution by considering all such solutions equally valid candidates. Then several logics could apply.
Below is the result of one such "Balanced" solution, on the same AATH dataset. Note, the balancing is done on the level of the single voxel without taking neighboring voxels into account.
New Option is added to the Parmetric Model processing: "Balance Solution" - ON\OFF.
During the parameter fitting, there might be numerous solutions (both voxelwise and Single ROI), whose Minimization Cost differ by the miniscule amount (<0.01 in relative terms of Absolute Minimum Cost).
We "Balance" the solution by considering all such solutions equally valid candidates. Then several logics could apply.
Below is the result of one such "Balanced" solution, on the same AATH dataset. Note, the balancing is done on the level of the single voxel without taking neighboring voxels into account.
New Option is added to the Parmetric Model processing: "Balance Solution" - ON\OFF.
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| K-trans (regular) |
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| K-trans (Balanced) |
![]() |
| Ve (regular) |
![]() |
| Ve (Balanced) |
![]() |
| Residual (regular) |
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| Residual (Balanced) |
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