PET-FDG BrainMask, a variant without filling the holes. Some arbitrary threshold parameters here.
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Saturday, May 31, 2014
Friday, May 30, 2014
Wednesday, May 28, 2014
Tuesday, May 27, 2014
Friday, May 23, 2014
Wednesday, May 21, 2014
PET brain "Ridge Segmentation" function: finalized interface and functionality for 2D and 3D cases. Simplistic skeletonization algorithm that works well in 2D, for some reason is not performing well in 3D and would require more time to integrate more precise 3D skeletonization.
Therefore, due to a limited time available, "Process slices individually" option is always on in 3D case for the time being.
Therefore, due to a limited time available, "Process slices individually" option is always on in 3D case for the time being.
Friday, May 16, 2014
Wednesday, May 14, 2014
Monday, May 12, 2014
Added the "Detect Bright Ridges" function to the User Interface.
Operating volume - user specified increase in the resolution of the resulting "Ridges". It is practical experience that skeletons might benefit from the increase in resolution since their width of 1 voxels is used to simulate the objects of 0-thickness. "Increase resolution coefficient" in practice range from 1 to 3.
Interpolation - specifies the algorithm used in image upscaling.
Background detection is a part of the algorithm. Background is detected by overall smoothing of the volume. User has to specify "Radius (vox)" and the type of the smoothing Kernel.
Output parameter - specifies the result of the processing.
Elevation Map - Signal intensity volume specifying the likelihood that corresponding voxel is a ridge.
Ridge Mask: Binary ROI representing wide ridges.
Skeleton Mask: Centerlines of the Ridges represented as binary volumes.
Operating volume - user specified increase in the resolution of the resulting "Ridges". It is practical experience that skeletons might benefit from the increase in resolution since their width of 1 voxels is used to simulate the objects of 0-thickness. "Increase resolution coefficient" in practice range from 1 to 3.
Interpolation - specifies the algorithm used in image upscaling.
Background detection is a part of the algorithm. Background is detected by overall smoothing of the volume. User has to specify "Radius (vox)" and the type of the smoothing Kernel.
Output parameter - specifies the result of the processing.
Elevation Map - Signal intensity volume specifying the likelihood that corresponding voxel is a ridge.
Ridge Mask: Binary ROI representing wide ridges.
Skeleton Mask: Centerlines of the Ridges represented as binary volumes.
Saturday, May 10, 2014
Friday, May 9, 2014
Thursday, May 8, 2014
GRASP-DCE, patient MH, comparison of K-trans for various ROIs created by Anne
K-trans (1/min)
Using Anne's hand-drawn Using FVX IDF of carotid
ROI (carotid)
1.19 0.84 tu-right
0.97 0.67 co-whitematter-left
0.165 0.11 posttreatment-right
1.163 0.80 co-whitematter left
0.463 0.31 tu-brainstem-center
2.62 1.82 co-brainstem
1.62 1.13 suspectmass - left temporal lobe
>4 3.86 co-greymatter-right
K-trans (1/min)
Using Anne's hand-drawn Using FVX IDF of carotid
ROI (carotid)
1.19 0.84 tu-right
0.97 0.67 co-whitematter-left
0.165 0.11 posttreatment-right
1.163 0.80 co-whitematter left
0.463 0.31 tu-brainstem-center
2.62 1.82 co-brainstem
1.62 1.13 suspectmass - left temporal lobe
>4 3.86 co-greymatter-right
Wednesday, May 7, 2014
Tuesday, May 6, 2014
Monday, May 5, 2014
Sunday, May 4, 2014
Saturday, May 3, 2014
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