Announcement
We are pleased to announce SimpleITK 1.1 Release candidate 1.
Release Notes
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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
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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
- Add ImageFileReader::ReadImageInformation
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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
- DiscreteGaussianImageFilter, SmoothingRecursiveGaussianImageFilter now optionally take a vector argument for variance and sigma respectfully.
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