rpyANTs 0.0.6

• Improved normalization for irregular brain
• Fixed issues where atlases in nii are ignored
• Added extract_coregistartion to extract index to world and world to world matrix
• Added supports to the symmetric MNI152 templates
• Normalization allows with_skull or without skulls; cost_function can be customized too
• Users have choices to disable antspynet for consistency
• Suppressed a test on MacOS due to ImageIO issue

rpyANTs 0.0.5

• Added backward compatibility support for Py39
• Fixed the missing pow function from numpy
• Added atropos segments for templates
• New normalization: added atropos segments for normalization to templates
• ANTsPyNet model locations are stored in package data directory to comply with CRAN policy
• Always run abp during normalization
• Added brain extraction function using base ANTs
• Fixed issue when subject code contains underscore, causing non-comply BIDS format, causing parsing errors
• Added fsaverage template for normalization

rpyANTs 0.0.4

• Added get_xform and set_xform to get and set qform in ANTsImage
• Removed dependence nibabel, which might conflict with ANTsPy on certain platforms
• Using the full path to ANTsImage class instead of the shortcut one from Python to avoid issues where ANTsImage is not exported (ANTsPyx==0.5.3)
• Using multiple imaging files and faster normalization parameters when normalizing the native images to template
• Fixed get_lib_fn not available under ANTsPyx>=0.5.3
• Changed default Python version
• Fixed bugs when mapping native ROI to template
• Supported YAEL processing pipeline and use ANTsImage as inputs
• Added mapping images from native to template
• Fixed a typo in folder naming
• Method get_native_mapping gets correct absolute paths
• Allowed YAEL class to add default images through constructor
• Added intensity correction
• Exported ensure_template and added extra information
• Set time-out to ensure downloading the correct templates
• Added YAEL class to support pipelines mentioned in the paper for image registration and normalization

rpyANTs 0.0.3

• Added registration code that reproduces Halpern lab results
• Added t1_preprocess to align MRI to template using non-linear registration
• No more injection to Python on Windows as the memory pointer crash has been fixed by upstream developers
• No active binding to antspynet as this Python package might fail to load on some systems

rpyANTs 0.0.2

• Added antspynet to the installation
• Added ants_apply_transforms and ants_apply_transforms_to_points to apply registration transforms
• Added ants_resample_image to resample images
• Added antspynet_brain_extraction to extract brain and strip skulls
• Added antspynet_deep_atropos and antspynet_desikan_killiany_tourville_labeling to segment brain images

rpyANTs 0.0.1

• Added a NEWS.md file to track changes to the package.