SimpleITK Release v1.1rc1

We are pleased to announce SimpleITK 1.1 Release candidate 1.

Release Notes

  • Improvements

  • Enabled 4D Images for IO, ExtractImageFilter, and output of JoinSeriesImageFilter

  • Enabled MINC IO by default

  • New Filters: ObjectnessMeasuresImageFiler, IterativeInverseDisplacementFieldImageFilter, UnsharpMaskImageFilter, RoundImageFilter

  • Added LBFGS2 optimizer to ImageRegistrationMethod

  • Improved Show search path for FIJI now includes in home directories

  • Improved ITK Modular awareness, include ImageIO

  • Superbuild upadate PCRE 8.40, SWIG 3.0.12, ITK 4.13

  • Many bug fixes and a couple segmentation fault issues addressed

  • The builds system is better and more robust then ever! Many new improvements and features!

  • Migrating examples, miscellaneous documentation and Wiki to Read the Docs: http://simpleitk.readthedocs.io/en/master/

  • Added and improved examples related to DICOM reading, writing and manipulating the meta-data dictionary

  • API Changes

  • Add ImageFileReader::ReadImageInformation

    • This add support to read meta-data from any support image file format of any dimension without reading the bulk pixel data.

  • added BinaryImageToLabelMap::GetNumberOfObjects

  • added optional MaskImage input to ConnectedComponentImageFilter

  • added SignedMaurerDistanceMapImageFilter::BackgroundValue paramater

  • WarpImageFilter now uses named inputs

  • ConvolutionFilters use named inputs

  • Added optional OrientedBoundingBox to LabelShapeStatisticsImageFilter

  • Added missing features to RelabelComponentImageFilter including SourceByObjectSize parameter and NumberOfObjects, SizeOfObjectsInPhysicalUnits measurements

  • Added LabelStatisticsImageFilter::GetRegion

  • Added MetaDataDictionaries to the ImageSeriesReader

  • Compatibility

  • DiscreteGaussianImageFilter, SmoothingRecursiveGaussianImageFilter now optionally take a vector argument for variance and sigma respectfully.

  • In Python the proceudal methods, DiscreteGaussian and SmoothingRecursiveGaussian may not work with with named arguments due to limitation with SWIG and overloaded functions.

  • N4BiasFiledCorrectionImageFilter now only takes uint8 for mask

Python Binary Downloads

  • Many binary Python wheels are available for download and testing. It is important to have the latest version form pip to ensure correct wheel compatibility. To install the SimpleITK package:

pip install --upgrade pip
pip install --pre -f https://github.com/SimpleITK/SimpleITK/releases/tag/v1.1rc1 SimpleITK