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plastimatch package

plastimatch 1.6.2+dfsg-2ubuntu3 source package in Ubuntu

Changelog

plastimatch (1.6.2+dfsg-2ubuntu3) xenial; urgency=medium

  * Rebuild against libinsighttoolkit4.9.

 -- Gianfranco Costamagna <email address hidden>  Fri, 26 Feb 2016 11:01:33 +0100

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Uploaded by:
Gianfranco Costamagna
Uploaded to:
Xenial
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
science
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
plastimatch_1.6.2+dfsg.orig.tar.xz 2.7 MiB 9c4c5b566e5ecd9a7a3b8786522a7620a9bf0910a58c83c00dec5c44f7fc96ee
plastimatch_1.6.2+dfsg-2ubuntu3.debian.tar.xz 8.0 KiB b4fc2b656479396ed0cb9fe0c81fc8d26b9b6a6cd1c9542bc43bfc257c128d97
plastimatch_1.6.2+dfsg-2ubuntu3.dsc 2.2 KiB 0067488bf4c1910308545c0610da3d68c01c9161785a681766add84060a671a4

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Binary packages built by this source

plastimatch: 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)

plastimatch-dbgsym: debug symbols for package plastimatch

 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)