Package: plastimatch
Version: 1.5.15+dfsg-1build1
Architecture: amd64
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Med Packaging Team <debian-med-packaging@lists.alioth.debian.org>
Installed-Size: 71010
Depends: libc6 (>= 2.14), libdcmtk2 (>= 3.6.0), libfftw3-double3, libgcc1 (>= 1:4.1.1), libgomp1 (>= 4.4), libinsighttoolkit4.5, libstdc++6 (>= 4.6)
Section: science
Priority: optional
Homepage: http://plastimatch.org
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 thin-
      plate 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)
