a) Conversion RealToInteger: fixed the reuslting DICOM header, so the NumberOfBits\HighBit etc match the ones specified by the User.
b) Threshold to ROI: resulting ROI DiCOM header has now NumberOfBits=1
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Wednesday, September 14, 2016
Tuesday, September 13, 2016
EdgeDetector 3D: greatly reduced the memory requirements.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradient Map which is extremely memory consuming.
Also, this function is applicable throughout FireVoxel where only the Edge Magnitude map or Binary Edge are sufficient.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradient Map which is extremely memory consuming.
Also, this function is applicable throughout FireVoxel where only the Edge Magnitude map or Binary Edge are sufficient.
EdgeDetector 3D: greatly reduced the memory requirements.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradien Map which is extremely memory consuming.
On BPD_N01 test dataset (from BiCal sample set), the Max Used memory was reduced about x10 times from 750MB down to 73 MB. This was done by introducing a specialized simplified function for most common scenarios. This simplified function avoids generation of the Gradien Map which is extremely memory consuming.
Sunday, September 11, 2016
Thursday, September 8, 2016
Saturday, September 3, 2016
Friday, September 2, 2016
Thursday, September 1, 2016
Wednesday, August 31, 2016
Saturday, August 27, 2016
Rat Brain registration: resolved the quality problem by adding and additional (5th) landmark at the back of the brain in the Eyes Plain. Apparently the 4 Landmark configuration was too close to a Coplanar that was causing the Affine registration to fail.
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| Additional BrainBack landmark |
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| Affine registration result: Transformed CT overlaid by the MR-template landmarks. |
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| CT layer (Green) overlaid with transparency on top of the MR layer (Red) |
Thursday, August 25, 2016
BiCal Smooth preprocess: Changed the algorithm and the User Interface item to a simple checkbox (ON\OFF). This finally makes BiCal with all parameter Quasi-constants. I.e. User can run the BiCal on all volumes with very good result without changing parameter. The eliminated SmoothPower parameter was extremely challenging to replace.
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