plastimatch 1.6.2+dfsg-1ubuntu2 source package in Ubuntu
Changelog
plastimatch (1.6.2+dfsg-1ubuntu2) xenial; urgency=medium * No-change rebuild against libdcmtk4v5 -- Steve Langasek <email address hidden> Thu, 12 Nov 2015 03:29:27 +0000
Upload details
- Uploaded by:
- Steve Langasek
- Uploaded to:
- Xenial
- Original maintainer:
- Ubuntu Developers
- Architectures:
- any
- Section:
- science
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section |
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Downloads
File | Size | SHA-256 Checksum |
---|---|---|
plastimatch_1.6.2+dfsg.orig.tar.xz | 2.7 MiB | 9c4c5b566e5ecd9a7a3b8786522a7620a9bf0910a58c83c00dec5c44f7fc96ee |
plastimatch_1.6.2+dfsg-1ubuntu2.debian.tar.xz | 7.8 KiB | 6cfa1c82be3ea3507ab6a8aa72b53b0d593d7bfb521d529245fca074f664e165 |
plastimatch_1.6.2+dfsg-1ubuntu2.dsc | 2.3 KiB | 3c75005de60fcc426e686315f588fc657b52d061a0e0aaf24b971c2e36300ab3 |
Available diffs
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)