Slicer-3.6-QA

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  • This page contains our assessment of the Slicer 3.6 modules

Testing Status

Core Modules

Slicer 3.6 Quality Assurance
Score Name Documentation Help [1] Acknowledgment [2] Current Owner
?? Camera complete yes, no link no Sebastien Barre
?? Volumes complete yes and yes yes and yes Steve Pieper
?? Diffusion Editor complete yes and yes no CF Westin
?? Models complete yes and yes yes and yes Alex Yarmarkovich
?? Measurements complete yes and yes yes and yes Nicole Aucoin
?? Fiducials complete yes and yes yes and yes Nicole Aucoin
?? Data complete yes and yes yes and yes Steve Pieper
?? Slices complete yes and yes yes and yes Jim Miller
?? Colors complete yes and yes yes and yes Nicole Aucoin
?? Interactive Editor complete no and yes yes and no Steve Pieper
?? ROI Module complete no and yes no and yes Alex Yarmarkovich
?? Volume Rendering complete yes and yes no and yes Yanling Liu
?? PET/CT Fusion complete yes and yes yes and yes Wendy Plesniak
  1. including link to website documentation
  2. including name of author and of supervisor

Application CLI Modules

Slicer 3.6 Quality Assurance
Score Name Documentation Help [1] Acknowledgment [2] Test coverage [3] valgrind errors Current Owner Comments [4] 3.6 Documentation Name
Gold my module complete yes and yes yes, yes, yes 80% 0
?? DiffusionWeightedTest no no yes and yes 69.8% 0 CF Westin n/a
?? DiffusionTensorEstimation complete yes and no yes and yes 79.7% 9 CF Westin same
?? DiffusionTensorMathematics no yes and no yes and yes 56.2% 5 CF Westin Diffusion Tensor Scalar Measurements
Gold OrientImage complete yes and yes yes and yes 85.7% 0 Bill Lorensen OrientImages
?? LinearRegistration complete yes and no yes and yes 66.7% 4 Daniel Blezek same
?? RigidRegistration complete yes and no yes and yes 1.0% 92 Daniel Blezek same
?? RegisterImages complete yes and yes yes and yes Casey Goodlett, Stephen Aylward same
?? Fast Affine Registration complete yes and no yes and yes 1.4% 82 Daniel Blezek same
Gold BSplineDeformableRegistration complete yes and yes yes and yes 82.3% 6 Bill Lorensen Fast Nonrigid BSpline Registration
?? TestGridTransformRegistration no no yes and yes 90.7% 0 Yinglin Lee n/a
?? CheckerBoard complete yes and yes yes and yes 67.4% 0 Bill Lorensen CheckerBoard Filter
?? ResampleVolume complete yes and yes yes and yes 57.1% 0 Bill Lorensen same
?? PolyDataToLabelmap no yes and yes yes and yes 87.9% 0 Nicole Aucoin, Xiaodong Tao n/a
?? GaussianBlurImageFilter complete yes and no yes and yes 55.9% 0 Julien Jomier, Stephen Aylward Gaussian Blur
?? ConfidenceConnected complete yes and no yes and yes 87.5% 0 Jim Miller Simple region growing
?? ExecutionModelTour no yes and yes yes and yes 87.2% 0 Daniel Blezek, Bill Lorensen n/a
?? ImageReadDicomWrite no yes and yes yes and yes 86.1% 0 Bill Lorensen Create a Dicom Series
?? CurvatureAnisotropicDiffusion complete yes and yes yes and yes 64.3% 0 Bill Lorensen same
?? GradientAnisotropicDiffusion complete yes and yes yes and yes 63.4% 0 Bill Lorensen GradientAnisotropicFilter
?? MedianImageFilter complete yes and yes yes and yes 51.1% 0 Bill Lorensen same
?? HistogramMatching complete yes and yes yes and yes 65.0% 0 Bill Lorensen same
?? OtsuThresholdImageFilter no yes and yes yes and yes 100% 0 Bill Lorensen OtsuThreshold
?? OtsuThresholdSegmentation complete yes and no yes and yes 90.9% 0 Bill Lorensen same
?? Subtract complete yes and yes yes and yes 71.7% 0 Bill Lorensen SubtractImages
?? Multiply no yes and no yes and yes 77.6% 0 Bill Lorensen n/a
Gold Add complete yes and yes yes and yes 84.9% 0 Bill Lorensen AddImages
?? Threshold complete yes and no yes and yes 55.8% 0 Nicole Aucoin ThresholdImage
?? Mask complete yes and no yes and yes 80.0% 0 Nicole Aucoin Mask Image
?? Cast complete yes and no yes and yes 14.6% 0 Nicole Aucoin Cast Image
?? VotingBinaryHoleFillingImageFilter complete yes and yes yes and yes 100% 0 Bill Lorensen Voting Binary Hole Filling
?? ModelMaker complete yes and yes yes and yes 57.4% 1 Nicole Aucoin same
?? MultipleModelsExample no yes and no yes and yes 1.9% 50 Nicole Aucoin n/a
?? GrayscaleModelMaker no yes and no yes and yes 82.1% 1 Bill Lorensen same
?? MergeModels no yes and yes yes and yes 62.7% 0 Nicole Aucoin, Daniel Haehn same
?? GrayscaleFillHoleImageFilter complete yes and yes yes and yes 57.1% 0 Bill Lorensen Grayscale Fill Hole
?? GrayscaleGrindPeakImageFilter complete yes and yes yes and yes 64.5% 0 Bill Lorensen Grayscale Grind Peak
?? LabelMapSmoothing no yes and no yes and yes 87.9% 0 Dirk Padfield, Josh Cates, Ross Whitaker n/a
?? ImageLabelCombine complete yes and no yes and no 7.5% 50 Alex Yarmarkovich same
?? ResampleVolume2 no yes and yes yes and yes 46.8% 0 Francois Budin Resample Scalar/Vector/DWI Volume
?? ZeroCrossingBasedEdgeDetectionImageFilter no yes and no yes and yes 62.5% 0 Elliot Uvero n/a
?? FreesurferSurfaceSectionExtraction no yes and no yes and yes 60.0% 62 Sylvain Bouix n/a/
?? BRAINSDemonWarp complete yes and no yes and no 0 Hans Johnson, Greg Harris same
?? BRAINSFit complete yes and yes yes and yes 0 Eun Young Kim same
?? BRAINSMush complete no no 0 Hans Johnson same
?? BRAINSResample no yes and yes yes and no 0 Hans Johnson n/a
?? BRAINSROIAuto no yes and no yes and no 0 Hans Johnson n/a
?? DiffusionTensorEstimation BatchMake no yes and no yes and no 0 Lauren O'Donnell n/a
?? EMSegment BatchMake complete yes and yes yes and yes 0 Julien Jomier, Stephen Aylward, Brad Davis EM Segmenter batch
?? Gaussian Blur BatchMake complete yes and yes yes and yes 0 Julien Jomier, Stephen Aylward, Julien Finet Gaussian Blur batch
?? RegisterImages BatchMake complete yes and yes yes and yes 0 Stephen Aylward, Julien Finet Register Images batch
?? ResampleScalarVolume BatchMake complete yes and yes yes and yes 0 Julien Finet Resample Volume batch
?? Diffeomorphic Demons Algorithm no no yes and yes 0 Tom Vercauteren, Ender Konukoglu, Kilian Pohl n/a
?? ResampleDTIVolume complete yes and yes yes and yes 0 Francois Budin same
?? Rician LMMSE Image Filter complete yes and no yes and yes 0 Antonio Tristan Vega, Santiago Aja Fernandez, Marc Niethammer same
?? Unbiased Non Local Means filter for DWI complete yes and no yes and yes 0 Antonio Tristán Vega, Santiago Aja-Fernandez n/a
?? Joint Rician LMMSE Image Filter complete yes and no yes and yes 0 Antonio Tristán Vega, Santiago Aja Fernández same
?? Extract Skeleton no yes and no no and yes 0 Pierre Seroul, Martin Styner, Guido Gerig, Stephen Aylward n/a
?? MRI Bias Field Correction complete yes and yes yes and yes 0 Sylvain Jaume same
?? N4ITK MRI Bias Correction no yes and no yes and yes 0 Nick Tustison, Andriy Fedorov same
?? ACPC Transform complete yes and yes yes and yes 0 Nicole Aucoin same
?? Mesh Contour Segmentation complete yes and yes yes and yes 0 Peter Karasev, Karol Chudy, Allen Tannenbaum same
?? Utah BSpline Deformable registration complete yes and no yes and yes 0 Sam Gerber, Jim Miller, Steve Pieper, Ross Whitaker n/a
?? Calculate Volume Statistics no no no 0 Tri Ngo n/a
?? Generate Connectivity Map no no no 0 Tri Ngo n/a
?? ROI Tract Filter no no no 0 Tri Ngo n/a
?? Stochastic Tractography Filter no no no 0 Tri Ngo n/a
?? MIDAS Data and Slicer Tutorials no yes and no yes and no 0 Patrick Reynolds, Stephen Aylward n/a
  1. including link to website documentation
  2. including name of author and of supervisor
  3. in % for non-interactive part
  4. Test coverage percentage determined by: [# lines code covered / total # lines of code (covered and non-covered) *100] of relevant .cxx and .h files

Testing Partition

Most Slicer modules have a GUI component and a Data Processing component.

Testing GUI components is still a challenge, so we will focus here on testing the Data Processing components. This can be done in most cases by partitioning the module into a GUI section and a Data Processing section, where the second one usually takes the form of a C++ class (although that is not a requirement).

The data processing section can be tested by using standard CTest/CMake mechanisms. Basically by adding ADD_TEST() entries to the CMakeLists.txt file of the module.

Luis Ibanez' scoring system

The following scoring will be applied to the data processing sections of all modules:

Slicer 3.6 Quality Assurance Scoring
Score Code Coverage Valgrind Errors Documentation Tutorial
Gold > 80% 0 yes yes
Silver > 70% < 10 yes yes
Bronze > 60% < 50 yes yes
Clay > 50% < 100 yes yes
Coal < 50% > 100 yes yes
Hazard unknown unknown no no

The code coverage and Valgrind error must be the ones reported on the Nightly Slicer Dashboard. Anecdotal data is not acceptable.