Source: plastimatch Maintainer: Debian Med Packaging Team Uploaders: Gregory C. Sharp , Andreas Tille Section: science Priority: optional Build-Depends: debhelper (>= 11~), cmake, libblas-dev, libdcmtk-dev, libdlib-dev, libfftw3-dev, libgdcm2-dev, libinsighttoolkit4-dev, liblapack-dev, libpng-dev, libsqlite3-dev, libtiff-dev, uuid-dev, zlib1g-dev Standards-Version: 4.3.0 Vcs-Browser: https://salsa.debian.org/med-team/plastimatch Vcs-Git: https://salsa.debian.org/med-team/plastimatch.git Homepage: http://plastimatch.org Package: plastimatch Architecture: any Depends: ${shlibs:Depends}, ${misc:Depends} Description: medical image reconstruction and registration Plastimatch is an open source software for deformable image registration. It is designed for high-performance volumetric registration of medical images, such as X-ray computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography(PET). Software features include: * B-spline method for deformable image registration (GPU and multicore accelerated), including support for image masking, landmark penalties, and regularization * Demons method for deformable image registration (GPU accelerated) * Multi-atlas segmentation * ITK-based algorithms for translation, rigid, affine, multiple demons methods, and B-spline registration * Pipelined, multi-stage registration framework with seamless conversion between most algorithms and transform types * Landmark-based deformable registration using thinplate splines for global registration * Landmark-based deformable registration using radial basis functions for local corrections * Broad support for 3D image file formats (using ITK), including DICOM, Nifti, NRRD, MetaImage, and Analyze * Extensive toolchain for radiotherapy research, including support for DICOM, DICOM-RT, DICOM SRO, XiO file format, gamma analysis, contour manipulation, contour overlap analysis, and vector field analysis Plastimatch also features two handy utilities which are not directly related to image registration: * FDK cone-beam CT reconstruction (GPU and multicore accelerated) * Digitally reconstructed radiograph (DRR) generation (GPU and multicore accelerated)