SidongLiu Update
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- Feb 28
- MICCAI paper submissions
- Mar 12 - 14
- Start to work at SPL, 75 Fransic St
- Mar 17 - 21
- EMBC paper submission
- Implement a new functionality for peritumoral tract exploration
- Mar 24 - 28
- MICCAI paper reviews
- SNMMI abstract papers accepted
- Reformat the Hausdorff outputs
- Mar 31 - Apr 4
- Postdoctoral fellowship application
- Start to work at SPL, Boylston St
- April 7-11
- CMIG journal revised version submission
- ACM MM abstract preparation
- Work on DTI Editor module ("tract extractor")
- April 11
- The fiber selection function can be found in Diffusion -> Tractography -> FiberBundleLabelSelect module.
- The fiber bundle cropping function can be found in Tractography Display module. http://wiki.slicer.org/slicerWiki/index.php/Documentation/4.3/Modules/TractographyDisplay
- Sidong's next task would be learn qt.QImage object and see how to manipulate it in Python. Check Steve's code at https://github.com/pieper/CompareVolumes/blob/master/CompareVolumes.py
- A control panel style mosaic to flexibly display different teams or patients. A summary table showing the statistics.
- April 14-18
- Try Brain Visa trick on mac http://brainvisa.info/forum/viewtopic.php?f=2&t=1713#p6399
- Explore Nipype to see whether we can convert Gifti to VTK or STL, or other compatible format with Slicer http://www.mit.edu/~satra/nipype-nightly/users/examples/dmri_connectivity.html
- Discussed the response letter for MICCAI submissions
- Next task would be
- Load the test data and create the scene views manually
- Link the scene views to individual 3D mosaic viewers
- Test one MRI volume in 4 viewers first; then test 4 MRI volumes in 4 viewers; finally test the DTI data
- April 21-25
- Made progress to the Mosaic Viewer module. Now it could display and manipulate multiple independent 3D viewers at the same time
- Discussed DTI Challenge preparation. Need to install Evernote and Live Minutes to enhance collaboration
- Next step would be to finalize the Mosaic Viewer by creating a scene view for the it
- Submitted the Grants-in-Aid application
- The original test dataset is a HARDI dataset with 69 gradients plus 4 baselines, and we extracted 30 volumes whose b-values equal to 1000.
- April 28 - May 02
- Finalized the Mosaic Viewer module.
- Successfully loaded and corrected the Brain Visa surface files into Slicer. Next step would be streamline the process. There might be three potential solutions:
- Build CLI modules (SlicerToBrainVisa Import and Export) to integrate Brain Visa morphologist tools in Slicer. Check NiftyReg extension as an example (https://github.com/spujol/niftyregExtension) and Hello World tutorial to learn how to integrate .cxx plugins (http://www.slicer.org/slicerWiki/images/2/22/ProgrammingIntoSlicer3.6_SoniaPujol.pdf). Note this tutorial might need to be updated to Slicer 4.
- Build a Python wrapper which point to the Brain Visa executable files and run Brain Visa in Slicer.
- Write a simple script to 1) convert nhdr to Nifty; 2) filp left / right by changing RAS to LPI coordinate system; 3) run Morphologist pipeline in Brain Visa; 4) load output .ply file in Slicer; and 5) apply 'BrainVisatoSlicer' transform if the coordinate differences were independent to the datasets.
- Test the DWIConverter module to convert DICOM to nhdr using the datasets '...high-b.raw.gz' dataset and compare the output to '...high-b.nhdr'.
- New tasks regarding the test dataset:
- Create the tractography for extracted dataset only using single tensor algorithm
- Compare the result to that of original dataset using UKF extension
- Run the DTIPrep extension on both datasets (original and extracted)
- May 05 - May 09
- Reconstruct the tensors using eigen values and eigen vectors. Slicer could not handle eigen vectors directly, so we ned to calculate the 7 coefficients in the tensor matrix.
- Our multi-channel pattern analysis paper was accepted by CMIG.
- May 12 - May 16
- Run DTIPrep for all the datasets.
- Clean up and classify all the processed datasets.
- Send email to Francois checking what are the differences VC and QCed results.
- Send BrainVisa screenshots to Sonia, describing the sulci recognition problems.
- Run UKF tractography with 1-6 seeds per voxel, 2 tensors, other parameters by default.
- May 19 - May 23
- Process the new dataset 'test1'
- Solve the DTIPrep problems.
- 1. Why there are 4 baseline images in the original dataset, but only one is left after processing? All the baselines are merged into one image.
- 2. How to see the sphere after quality check? We need to first save the results, and then load the XML to DTIPrep.
- 3. Why the gradient directions are changed after processing? This might be a bug, resulted from rounding errors.
- 4. Why there are holes in the QCed DTI dataset? We need to reset the parameter 'DTI_bCompute - DTI_baselineThreshold'.
- May 26 - May 30
- Submit propagation matrix fusion paper to ICARCV 2014.
- Rerun DTIPrep on 'test1'. After testing with different settings, we found when this parameter is set to less than 50, the holes disappear.
- Jun 2 - Jun 6
- Run BrainVisa on T1 and T2 registered data, use label map as a mask to filter out the lesion from the generated surface. Try 'Resample Scalar/Vector/DWI Volume' module, set 'Interpolation Type' to ws.
- Run 'Slicer Surface Toolbox' to refine BrainVisa surface. Chcek 'splitting' box in Normals.
- Convert DICOM to FSL (nifty) format.
- Invited to be NA-MIC tutorial contest judge.
- Attend Junichi's experiment
- 09 Jun
- Test DWIConvert on Sample Data - DWIVolume
- NrrdToFSL: Slicer-build/lib/Slicer-4.3/cli-modules/DWIConvert --conversionMode NrrdToFSL --inputVolume ./dwi.nhdr --outputVolume ./dwi_fsl.nii.gz --outputBValues ./bvals.txt --outputBVectors ./bvec.txt
- FSLToNrrd: Slicer-build/lib/Slicer-4.3/cli-modules/DWIConvert --conversionMode FSLToNrrd --inputVolume ./dwi_fsl.nii.gz --outputVolume ./dwi_reconverted.nrrd --inputBValues ./bvals.txt --inputBVectors ./bvec.txt
- Test DWIConvert on 'test1' dataset
- Test DWIConvert on Sample Data - DWIVolume