plastimatch 1.5.5+dfsg0-2 source package in Ubuntu

Changelog

plastimatch (1.5.5+dfsg0-2) unstable; urgency=low


  * Make the test suit fatal on supported arches

 -- Dominique Belhachemi <email address hidden>  Wed, 09 Nov 2011 23:10:50 -0500

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Uploaded by:
Debian Med
Uploaded to:
Sid
Original maintainer:
Debian Med
Architectures:
any
Section:
science
Urgency:
Low Urgency

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File Size SHA-256 Checksum
plastimatch_1.5.5+dfsg0-2.dsc 1.5 KiB f94e974de698e8f277bebe114be7b05d23b42643b9e2edd46936a47b1a7458e1
plastimatch_1.5.5+dfsg0.orig.tar.gz 4.7 MiB a19a8e9d220e437d9dbc3f6de1ee0224b1072a00a9cd3bd6935eebf08d202ec8
plastimatch_1.5.5+dfsg0-2.debian.tar.gz 6.1 KiB 6ce5b40a6b21a193696e16033a8c0be24e3ee75c1a0511a612bf6aa181c48d39

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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)
    * Demons method for deformable image registration
      (GPU accelerated)
    * ITK-based algorithms for translation, rigid, affine,
      demons, 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
    * DICOM and DICOM-RT import and export
    * XiO import and export
    * Plugin to 3D Slicer
 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)