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plastimatch package

plastimatch 1.6.2+dfsg-1ubuntu1 source package in Ubuntu

Changelog

plastimatch (1.6.2+dfsg-1ubuntu1) wily; urgency=medium

  * Build using insighttoolkit4 on any architecture.

 -- Matthias Klose <email address hidden>  Sun, 04 Oct 2015 23:02:23 +0200

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Uploaded by:
Matthias Klose
Uploaded to:
Wily
Original maintainer:
Debian Med
Architectures:
any
Section:
science
Urgency:
Medium Urgency

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Series Pocket Published Component Section

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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-1ubuntu1.debian.tar.xz 7.7 KiB 31b23a39eb512d34de38aaf9413b7130e69de3e906da08022e178a6f904727d8
plastimatch_1.6.2+dfsg-1ubuntu1.dsc 2.2 KiB 0fc28bde67b12bfff6113f8153927016a80d69f413b9fd9c600bbc4341f7aff1

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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)