Debian Med Project
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Summary
Imaging Development
Debian Med image processing and visualization packages development

This metapackage will install Debian packages which might be useful for developing applications for medical image processing and visualization.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Med to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Med mailing list

Links to other tasks

Debian Med Imaging Development packages

Official Debian packages with high relevance

cimg-dev
powerful image processing library
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The CImg Library is a C++ toolkit providing simple classes and functions to load, save, process and display images in your own C++ code. It consists only of a single header file CImg.h that must be included in your program source. It contains useful image processing algorithms for loading/saving, resizing/rotating, filtering, object drawing (text, lines, faces, ellipses, ...), etc.

Images are instantiated by a class able to represent images up to 4-dimension wide (from 1-D scalar signals to 3-D volumes of vector-valued pixels), with template pixel types. It depends on a minimal number of libraries : you can compile it with only standard C libraries. No need for exotic libraries and complex dependencies.

The package is enhanced by the following packages: cimg-doc cimg-examples
ctn-dev
Development files for Central Test Node, a DICOM implementation
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DICOM is the standard for image storage, annotation, and networking. It is used widely for medical imaging.

This package includes the header files and static library used for creating programs that use the CTN library.

Please cite: S.M. Moore, S.A. Hoffman and D.E. Beecher: DICOM Shareware: A Public Implementation of the DICOM Standard 2165:772–781 (1994)
gmic
GREYC's Magic for Image Computing
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G'MIC is an open and full-featured framework for image processing, providing several different user interfaces to convert/manipulate/filter/visualize generic image datasets, from 1d scalar signals to 3d+t sequences of multi-spectral volumetric images.

This package contains the stand-alone gmic binary.

Screenshots of package gmic
libbart-dev
Development files for BART
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The Berkeley Advanced Reconstruction Toolbox (BART) is a free and open-source image-reconstruction framework for Computational Magnetic Resonance Imaging.

This package provides headers and static libraries.

Please cite: Martin Uecker, Sebastian Rosenzweig, H. Christian M. Holme, Moritz Blumenthal, Zhengguo Tan, Xiaoqing Wang, Jonathan I. Tamir and Michael Lustig: BART Toolbox for Computational Magnetic Resonance Imaging.
libbiosig-dev
I/O library for biomedical data - development files
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BioSig is a library for accessing files in several biomedical data formats (including EDF, BDF, GDF, BrainVision, BCI2000, CFWB, HL7aECG, SCP_ECG (EN1064), MFER, ACQ, CNT(Neuroscan), DEMG, EGI, EEG1100, FAMOS, SigmaPLpro, TMS32). The complete list of supported file formats is available at http://pub.ist.ac.at/~schloegl/biosig/TESTED .

This package provides header files and static library.

Please cite: Alois Schlögl and Clemens Brunner: BioSig: A Free and Open Source Software Library for BCI Research. (eprint) Computer 41(10):44-50 (2008)
libcamitk-dev
Computer Assisted Medical Intervention Tool Kit - development
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Helps researchers and clinicians to easily and rapidly collaborate in order to prototype CAMI applications, that feature medical images, surgical navigation and biomechanical simulations.

This package contains development files needed to build CamiTK applications. This package also provides the CamiTK wizard application to create new extensions.

Please cite: Céline Fouard, Aurélien Deram, Yannick Keraval and Emmanuel Promayon: CamiTK: a Modular Framework Integrating Visualization, Image Processing and Biomechanical Modeling. :323-354 (2012)
libcifti-dev
development files for CiftiLib
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CIFTI (Connectivity Informatics Technology Initiative) standardizes the file formats for storage of connectivity data. These formats are developed by the Human Connectome Project and other interested parties.

CiftiLib is a C++ library for CIFTI-1 and CIFTI-2 file I/O, supporting both on-disk and in-memory access. It also provides facilities for reading and writing generic NIfTI-1 and NIfTI-2 files.

This package provides the development files.

libedf-dev
European Data Format library - devel
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EDFlib is a programming library for C/C++ to read/write EDF+/BDF+ files. (It also reads old-type EDF/BDF files.) EDF means European Data Format. BDF is the 24-bits version of EDF.

Headers and shared libraries for edflib.

libgdcm2-dev
Grassroots DICOM development libraries and headers
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Grassroots DiCoM is a C++ library for DICOM medical files. It is automatically wrapped to python/C#/Java (using swig). It supports RAW,JPEG (lossy/lossless),J2K,JPEG-LS, RLE and deflated.

Headers and static libraries for libgdcm. These are not needed to use GDCM, but are needed to build plugins or programs that link against libgdcm.

Please cite: David Rodríguez González, Trevor Carpenter, Jano I. van Hemert and Joanna Wardlaw: An open source toolkit for medical imaging de-identification. (PubMed,eprint) European Radiology 20(8):1896-1904 (2010)
libgdf-dev
IO library for the GDF -- development library
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GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc.

This package provides the header files.

Please cite: Alois Schlögl: GDF – A general dataformat for BIOSIGNALS. The Computing Research Repository abs/cs/0608052 (2006)
libgiftiio-dev
IO library for the GIFTI cortical surface data format - headers
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GIFTI is an XML-based file format for cortical surface data. This reference IO implementation is developed by the Neuroimaging Informatics Technology Initiative (NIfTI).

This package provides the header files and static library.

Registry entries: SciCrunch 
libinsighttoolkit5-dev
Image processing toolkit for registration and segmentation - development
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ITK is an open-source software toolkit for performing registration and segmentation. Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.

This package contains the development files needed to build your own ITK applications.

libismrmrd-dev
development files for ISMRMRD
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The ISMRMRD format combines a mix of flexible data structures (XML header) and fixed structures (equivalent to C-structs) to represent MRI data.

In addition, the ISMRMRD format also specifies an image header for storing reconstructed images and the accompanying C++ library provides a convenient way of writing such images into HDF5 files along with generic arrays for storing less well defined data structures, e.g. coil sensitivity maps or other calibration data.

This package provides the development files.

libmaxflow-dev
Development files for the maxflow-mincut algorithm
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This library implements an efficient minimum cut/maximum flow algorithms on graphs that can be used for exact or approximate energy minimization in low-level vision. The algorithm provides a high performance that makes near real-time performance possible. This package provides the development files for the library.

Please cite: Yuri Boykov and Vladimir Kolmogorov: An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision. (eprint) IEEE Transactions on Pattern Analysis and Machine Intelligence 6(9):1124 - 1137 (2004)
libmdc2-dev
??? missing short description for package libmdc2-dev :-(
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libmia-2.4-dev
library for 2D and 3D gray scale image processing, development files
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libmia comprises a set of libraries and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the appropriate plug-ins. This package provides the development files for the library.

The package is enhanced by the following packages: libmia-2.4-doc
Please cite: Gert Wollny, Jean-Jaques Hublin, Maria-J Ledesma-Carbayo, Matthew M. Skinner, Peter Kellman and Thomas Hierl: MIA - A Free and Open Source Software for Gray Scale Medical Image Analysis. (eprint) Source Code for Biology and Medicine 8:20 (2013)
libmialm-dev
Development files for the MIA landmark library
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This library implements handling for landmarks and 3D view positioning for optimal landmark visibility, and in-and output of these landmarks. This library is part of the MIA tool chain for medical image analysis. This package contains the development files - headers, shared libraries, and pkg-config files.

Please cite: Gert Wollny, Fritjhoff Kruggel, Thomas Hierl and Jörg Hendricks: Assessment, validation, and visualisation of bony changes in crano-facial surgery. (eprint) (2004)
libminc-dev
MNI medical image format development environment
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This package contains the library and headers for libminc2 and libminc_io.

The Minc file format is a highly flexible medical image file format. Minc version 1 is built on top of the NetCDF generalized data format. Minc version 2 is built on top of the HDF data format. This library handles both formats. In each case the format is simple, self-describing, extensible, portable and N-dimensional, with programming interfaces for both low-level data access and high-level volume manipulation. On top of the libraries is a suite of generic image-file manipulation tools. The format, libraries and tools are designed for use in a medical-imaging research environment : they are simple and powerful and make no attempt to provide a pretty interface to users.

libnifti2-dev
IO libraries for the NIfTI-1 data format (development)
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Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.

This package provides the header files and static libraries of libnifti2.

libodil-dev
C++11 library for the DICOM standard (development files)
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Odil leverages C++ constructs to provide a user-friendly API of the different parts of the DICOM standard. Included in Odil are exception-based error handling, generic access to datasets elements, standard JSON and XML representation of datasets, and generic implementation of messages, clients and servers for the various DICOM protocols.

This package contains the development files.

libopencv-dev
development files for opencv
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This is a metapackage providing development package necessary for development of OpenCV (Open Computer Vision).

The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance.

OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction.

Please cite: Gary Bradski and Adrian Kaehler: Learning OpenCV: Computer Vision with the OpenCV Library (2008)
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libopenigtlink-dev
Open IGT Link is a simple network protocol - development
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Open IGT Link is a simple network protocol intended for trackers, robots and other devices to send data to the main application. Some devices might also accept commands.

For example applications may include:

  • Stereotactic surgical guidance using optical position sensor and medical image visualization software.
  • Intraoperative image guidance using real-time MRI and medical image visualization software
  • Robot-assisted intervention using robotic device and surgical planning software

This package contains the development files needed to build your own IGT applications.

libopenslide-dev
Development files for the OpenSlide library
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OpenSlide is a C library that provides a simple interface to read whole-slide images also known as virtual slides.

Whole-slide images, also known as virtual slides, are large, high resolution images used in digital pathology. Reading these images using standard image tools or libraries is a challenge because these tools are typically designed for images that can comfortably be uncompressed into RAM or a swap file. Whole-slide images routinely exceed RAM sizes, often occupying tens of gigabytes when uncompressed. Additionally, whole-slide images are typically multi-resolution, and only a small amount of image data might be needed at a particular resolution.

This library currently supports:

  • Aperio (.svs, .tif)
  • Hamamatsu (.vms, .vmu, .ndpi)
  • Leica (.scn)
  • MIRAX (.mrxs)
  • Sakura (.svslide)
  • Trestle (.tif)
  • Generic tiled TIFF (.tif)

This package contains development files needed to build OpenSlide applications.

libpapyrus3-dev
DICOM compatible file format library
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PAPYRUS 3.0 file format based on the new DICOM 3.0 Standard addresses the open interchange of medical images in files or on removable storage media. This specific implementation of the DICOM standard is intended as a generic solution for interchange of multi-modality medical images on removable media. It can also be used for convenient exchange of image data between different computer systems through industry standard file transfer mechanisms. Finally it can also be used for storage and archival of medical image data in a DICOM compatible format.

This package contains the libraries needed to run PAPYRUS 3.0 applications.

Please cite: O. Ratib, H. Hoehn, C. Girard and C. Parisot: PAPYRUS 3.0: DICOM-compatible file format. (PubMed,eprint) Medical Informatics 19(2):171-178 (1994)
libsight-dev
Sight header files
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The Surgical Image Guidance and Healthcare Toolkit aims to ease the creation of applications based on medical imaging. It includes various features such as 2D and 3D digital image processing, visualization, augmented reality and medical interaction simulation. It runs on many different environments (Windows, Linux, macOS), is written in C++, and features rapid interface design using XML files.

Sight was formerly known as FW4SPL. It was renamed in 2018, firstly to make its purpose clearer, and secondly as part of a major change in design and in the governance of the development team.

This package contains the development files.

libteem-dev
Tools to process and visualize scientific data and images - development
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Teem is a coordinated group of libraries for representing, processing, and visualizing scientific raster data. Teem includes command-line tools that permit the library functions to be quickly applied to files and streams, without having to write any code. The most important and useful libraries in Teem are:

  • Nrrd (and the unu command-line tool on top of it) supports a range of operations for transforming N-dimensional raster data (resample, crop, slice, project, histogram, etc.), as well as the NRRD file format for storing arrays and their meta-information.
  • Gage: fast convolution-based measurements at arbitrary point locations in volume datasets (scalar, vector, tensor, etc.)
  • Mite: a multi-threaded ray-casting volume render with transfer functions based on any quantity Gage can measure
  • Ten: for estimating, processing, and visualizing diffusion tensor fields, including fiber tractography methods.

This package provides the Teem header files required to compile C++ programs that use Teem to do 3D visualisation.

libvigraimpex-dev
development files for the C++ computer vision library
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Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment.

This package contains the header and development files needed to build programs and packages using VIGRA.

libvistaio-dev
Development files for the libvistaio library
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Vistaio is a library that handles loading and storing of data in a cross-platform manner. Its virtue is that the otherwise binary files provide an ascii header that makes it easy to get information about the contens of a file. It supports a variety of data types like images, vector fields and graphs. This is the development package containing the header files, and pkg-config script, and man pages.

libvolpack1-dev
fast volume rendering library (development package)
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VolPack is a software library for fast, high-quality volume rendering with this features:

  • Renders data sampled on a regular, three-dimensional grid.
  • Supports user-specified transfer functions for both opacity and color.
  • Provides a shading model with directional light sources, multiple material types with different reflective properties, depth cueing, and shadows.
  • Produces color (24 bits/pixel) or grayscale (8 bits/pixel) renderings, with or without an alpha channel.
  • Supports arbitrary affine view transformations.
  • Supports a flexible data format that allows an arbitrary C structure to be associated with each voxel.

This is the development package.

libvtk-dicom-dev
DICOM for VTK - dev
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This package contains a set of classes for managing DICOM files and metadata from within VTK, and some utility programs for interrogating and converting DICOM files.

Development headers

libvtk9-dev
VTK header files
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The Visualization Toolkit (VTK) is an open-source software system for 3D computer graphics, image processing, and visualization.

This package provides the VTK header files required to compile C++ programs that use VTK to do 3D visualisation.

Please cite: Will Schroeder, Ken Martin and Bill Lorensen: The Visualization Toolkit (4th ed.) (2006)
libxdf-dev
C++ library for loading XDF files (headers and static lib)
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Libxdf is a cross-platform C++ library for loading multimodal, multi- rate signals stored in XDF files. Libxdf is used in the biosignal viewing application SigViewer. It can also be integrated into other C++ applications.

This package contains the header files and the static library

octave-bart
Octave bindings for BART
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The Berkeley Advanced Reconstruction Toolbox (BART) is a free and open-source image-reconstruction framework for Computational Magnetic Resonance Imaging.

This package provides Octave bindings for BART.

Please cite: Martin Uecker, Sebastian Rosenzweig, H. Christian M. Holme, Moritz Blumenthal, Zhengguo Tan, Xiaoqing Wang, Jonathan I. Tamir and Michael Lustig: BART Toolbox for Computational Magnetic Resonance Imaging.
octave-dicom
manipulate DICOM files in Octave
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Digital communications in medicine (DICOM) is an information standard, originally created for image transfer, which now deals with a large range of medical data.

This package provides functions to read and (eventually) write DICOM files in Octave, a scientific computation software. The functions in the package are intended to have similar usage as the dicom functions in the Matlab Image Processing Toolbox. In Octave they are separate: most image package users will not use dicom, and its dependency might be considered troublesome.

This Octave add-on package is part of the Octave-Forge project.

octave-gdf
IO library for the GDF -- Octave interface
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GDF (General Dataformat for Biosignals) is intended to provide a generic storage for biosignals, such as EEG, ECG, MEG etc.

This package provides Octave bindings for libgdf.

Please cite: Alois Schlögl: GDF – A general dataformat for BIOSIGNALS. The Computing Research Repository abs/cs/0608052 (2006)
odin
develop, simulate and run magnetic resonance sequences
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ODIN is a framework for magnetic resonance imaging (MRI). It covers the whole toolchain of MRI, from low-level data acquisition to image reconstruction. In particular, it aims at rapid prototyping of MRI sequences. The sequences can be programmed using a high-level, object oriented, C++ programming interface. It provides advanced sequence analysis tools, such as interactive plotting of k-space trajectories, a user interface for a fast compile-link-test cycle and a powerful MRI simulator which supports different virtual samples. For fast and flexible image reconstruction, ODIN contains a highly customizable, multi-threaded data-processing framework.

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python3-biosig
Python3 bindings for BioSig library
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This package provides Python3 bindings for BioSig library. Primary goal -- I/O interface to variety of biomedical file formats, including but not limited to SCP-ECG(EN1064), HL7aECG (FDA-XML), GDF, EDF.

Please cite: Alois Schlögl and Clemens Brunner: BioSig: A Free and Open Source Software Library for BCI Research. (eprint) Computer 41(10):44-50 (2008)
python3-bioxtasraw
process biological small angle scattering data
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BioXTAS RAW is a GUI based, Python program for reduction and analysis of small-angle X-ray solution scattering (SAXS) data. The package is designed for biological SAXS data.

BioXTAS RAW provides an alternative to closed source programs such as Primus and Scatter for primary data analysis. Because it can calibrate, mask, and integrate images it also provides an alternative to synchrotron beamline pipelines that scientists can install on their own computers and use both at home and at the beamline.

python3-brian
simulator for spiking neural networks
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Brian is a clock-driven simulator for spiking neural networks. It is designed with an emphasis on flexibility and extensibility, for rapid development and refinement of neural models. Neuron models are specified by sets of user-specified differential equations, threshold conditions and reset conditions (given as strings). The focus is primarily on networks of single compartment neuron models (e.g. leaky integrate-and-fire or Hodgkin-Huxley type neurons). Features include:

  • a system for specifying quantities with physical dimensions
  • exact numerical integration for linear differential equations
  • Euler, Runge-Kutta and exponential Euler integration for nonlinear differential equations
  • synaptic connections with delays
  • short-term and long-term plasticity (spike-timing dependent plasticity)
  • a library of standard model components, including integrate-and-fire equations, synapses and ionic currents
  • a toolbox for automatically fitting spiking neuron models to electrophysiological recordings
Please cite: D.F. Goodman and R. Brette: Brian: A Simulator for Spiking Neural Networks in Python. (PubMed,eprint) Frontiers in Neuroinformatics 2(5) (2008)
python3-dcmstack
DICOM to NIfTI conversion - python3 package
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DICOM to NIfTI conversion with the added ability to extract and summarize meta data from the source DICOMs. The meta data can be injected into a NIfTI header extension or written out as a JSON formatted text file.

This package provides the Python3 package.

python3-dipy
Python library for the analysis of diffusion MRI datasets
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DIPY is a software project for computational neuroanatomy. It focuses on diffusion magnetic resonance imaging (dMRI) analysis and tractography but also contains implementations of other computational imaging methods such as denoising and registration that are applicable to the greater medical imaging and image processing communities. Additionally, DIPY is an international project which brings together scientists across labs and countries to share their state-of-the-art code and expertise in the same codebase, accelerating scientific research in medical imaging.

Here are some of the highlights:

  • Reconstruction algorithms: CSD, DSI, GQI, DTI, DKI, QBI, SHORE and MAPMRI
  • Fiber tracking algorithms: deterministic and probabilistic
  • Native linear and nonlinear registration of images
  • Fast operations on streamlines (selection, resampling, registration)
  • Tractography segmentation and clustering
  • Many image operations, e.g., reslicing or denoising with NLMEANS
  • Estimation of distances/correspondences between streamlines and connectivity matrices
  • Interactive visualization of streamlines in the space of images

This package contains the Python 3 version.

Please cite: Eleftherios Garyfallidis, Matthew Brett, Vassilis Tsiaras, George Vogiatzis and Ian Nimmo-Smith: Identification of corresponding tracks in diffusion MRI tractographies. (eprint) Proc. Intl. Soc. Mag. Reson. Med. 18 (2010)
python3-gdcm
Grassroots DICOM Python bindings
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Grassroots DiCoM is a C++ library for DICOM medical files. It is automatically wrapped to python/C#/Java (using swig). It supports RAW,JPEG (lossy/lossless),J2K,JPEG-LS, RLE and deflated.

Python bindings to the GDCM DICOM library.

Please cite: David Rodríguez González, Trevor Carpenter, Jano I. van Hemert and Joanna Wardlaw: An open source toolkit for medical imaging de-identification. (PubMed,eprint) European Radiology 20(8):1896-1904 (2010)
python3-imageio
library for reading and writing image data (Python 3)
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Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, video, volumetric data, and scientific formats.

This package provides the library for Python 3.

python3-mia
Python-3 bindings for the MIA image processing library
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MIA comprises a set of tools, libraries, and plug-ins for general purpose 2D and 3D gray scale image processing and basic handling of triangular meshes. The libraries provide a basic infrastructure and generic algorithms, that can be specialized by specifying the appropriate plug-ins. This package provides the Python-3 bindings.

Please cite: Gert Wollny, Jean-Jaques Hublin, Maria-J Ledesma-Carbayo, Matthew M. Skinner, Peter Kellman and Thomas Hierl: MIA - A Free and Open Source Software for Gray Scale Medical Image Analysis. (eprint) Source Code for Biology and Medicine 500 (2013)
python3-mne
Python modules for MEG and EEG data analysis
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This package is designed for sensor- and source-space analysis of MEG and EEG data, including frequency-domain and time-frequency analyses and non-parametric statistics.

python3-nibabel
Python3 bindings to various neuroimaging data formats
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NiBabel provides read and write access to some common medical and neuroimaging file formats, including: ANALYZE (plain, SPM99, SPM2), GIFTI, NIfTI1, MINC, as well as PAR/REC. The various image format classes give full or selective access to header (meta) information and access to the image data is made available via NumPy arrays. NiBabel is the successor of PyNIfTI.

python3-nipy
Analysis of structural and functional neuroimaging data
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NiPy is a Python-based framework for the analysis of structural and functional neuroimaging data. It provides functionality for

  • General linear model (GLM) statistical analysis
  • Combined slice time correction and motion correction
  • General image registration routines with flexible cost functions, optimizers and re-sampling schemes
  • Image segmentation
  • Basic visualization of results in 2D and 3D
  • Basic time series diagnostics
  • Clustering and activation pattern analysis across subjects
  • Reproducibility analysis for group studies
Please cite: K. Jarrod Millman and Matthew Brett: Analysis of functional magnetic resonance imaging in Python (eprint) Computing in Science & Engineering 9(3):52-55 (2007)
python3-nipype
Neuroimaging data analysis pipelines in Python3
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Nipype interfaces Python to other neuroimaging packages and creates an API for specifying a full analysis pipeline in Python. Currently, it has interfaces for SPM, FSL, AFNI, Freesurfer, but could be extended for other packages (such as lipsia).

Please cite: SS Ghosh, C Burns, D Clark, K Gorgolewski, YO Halchenko, C Madison, R Tungaraza and KJ Millman: Nipype: Opensource platform for unified and replicable interaction with existing neuroimaging tools (eprint) 16th Annual Meeting of the Organization for Human Brain Mapping :106 (2010)
python3-nitime
timeseries analysis for neuroscience data (nitime)
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Nitime is a Python module for time-series analysis of data from neuroscience experiments. It contains a core of numerical algorithms for time-series analysis both in the time and spectral domains, a set of container objects to represent time-series, and auxiliary objects that expose a high level interface to the numerical machinery and make common analysis tasks easy to express with compact and semantically clear code.

python3-openslide
Python 3 wrapper for reading whole slide image files
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OpenSlide is a C library that provides a simple interface to read whole-slide images also known as virtual slides.

Whole-slide images, also known as virtual slides, are large, high resolution images used in digital pathology. Reading these images using standard image tools or libraries is a challenge because these tools are typically designed for images that can comfortably be uncompressed into RAM or a swap file. Whole-slide images routinely exceed RAM sizes, often occupying tens of gigabytes when uncompressed. Additionally, whole-slide images are typically multi-resolution, and only a small amount of image data might be needed at a particular resolution.

This library currently supports:

  • Aperio (.svs, .tif)
  • Hamamatsu (.vms, .vmu, .ndpi)
  • Leica (.scn)
  • MIRAX (.mrxs)
  • Sakura (.svslide)
  • Trestle (.tif)
  • Generic tiled TIFF (.tif)

This package contains the Python 3 module needed to run OpenSlide applications.

python3-pydicom
DICOM medical file reading and writing (Python 3)
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pydicom is a pure Python module for parsing DICOM files. DICOM is a standard (http://medical.nema.org) for communicating medical images and related information such as reports and radiotherapy objects.

pydicom makes it easy to read DICOM files into natural pythonic structures for easy manipulation. Modified datasets can be written again to DICOM format files.

This package installs the module for Python 3.

python3-pyxnat
Interface to access neuroimaging data on XNAT servers
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pyxnat is a simple Python library that relies on the REST API provided by the XNAT platform since its 1.4 version. XNAT is an extensible database for neuroimaging data. The main objective is to ease communications with an XNAT server to plug-in external tools or Python scripts to process the data. It features:

  • resources browsing capabilities
  • read and write access to resources
  • complex searches
  • disk-caching of requested files and resources
python3-torchvision
Datasets, Transforms and Models specific to Computer Vision
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The torchvision package consists of popular datasets, model architectures, and common image transformations for computer vision.

python3-vigra
Python3 bindings for the C++ computer vision library
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Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment.

This package exports the functionality of the VIGRA library to Python3.

Official Debian packages with lower relevance

libcamp-dev
C++ multi-purpose reflection library (development files)
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CAMP is a multi-purpose reflection library developed by Technogerma Systems France (http://www.tegesoft.com). It provides an abstraction for most of the high-level concepts of C++

  • Classes
  • Enumerations
  • Properties
  • Functions
  • Objects
  • Variables By wrapping all these concepts into abstract structures, CAMP provides an extra layer of flexibility to programs, and allow them to fully expose their data structures at runtime. Many applications can take advantage of CAMP, in order to automate tasks which would otherwise require a huge amount of work. For example, CAMP can be used to expose and edit objects' attributes into a graphical user interface. It can also be used to do automatic binding of C++ classes to script languages such as Python or Lua. Another possible application would be the serialization of objects to XML, text or binary formats. Or you can even combine all these examples to provide a powerful and consistent interface for manipulating your objects outside C++ code.

This package contains the files needed for development.

libeegdev-dev
Biosignal acquisition device library (Development files)
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eegdev is a library that provides a unified interface for accessing various EEG (and other biosignals) acquisition systems. This interface has been designed to be both flexible and efficient. The device specific part is implemented by the means of plugins which makes adding new device backend fairly easy even if the library does not support them yet officially.

The core library not only provides to users a unified and consistent interface to the acquisition device but it also provides many functionalities to the device backends (plugins) ranging from configuration to data casting and scaling making writing new device backend an easy task.

This library is particularly useful to handle the acquisition part of a Brain Computer Interface (BCI) or any realtime multi-electrode acquisition in neurophysiological research.

This package contains the files needed to compile and link programs which use eegdev. It provides also the headers needed to develop new device plugins. The manpages and examples are shipped in this package.

libfreeimage-dev
Support library for graphics image formats (development files)
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FreeImage is an Open Source C/C++ library project for developers who would like to support popular graphics image formats like PNG, BMP, JPEG, TIFF and others as needed by today's multimedia applications. FreeImage is easy to use, fast, multithreading safe, and cross-platform (works both with Linux, 32 bit Windows and Mac OS X).

This package contains the headers and static libraries needed to develop programs using FreeImage.

libics-dev
Image Cytometry Standard file reading and writing (devel)
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This is the reference library for ICS (Image Cytometry Standard), an open standard for writing images of any dimensionality and data type to file, together with associated information regarding the recording equipment or recorded subject.

This package contains the libraries needed to build ICS applications.

liblimereg-dev
Library for lightweight image registration [development files]
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Liblimereg automatically aligns two images with similar content to each other. Given two 2D images the algorithm returns the rigid transformation parameters detected for the best possible alignment (shift, rotation). There are also functions for a rigid image transformation (shift, rotation) and for creating a difference image out of two images.

This package contains the static library and the header file.

libnifti-doc
NIfTI library API documentation
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Niftilib is a set of i/o libraries for reading and writing files in the NIfTI-1 data format. NIfTI-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.

This package provides the library API reference documentation.

libxdffileio-dev
Library to read/write EEG data file formats (development files)
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xdffileio is a library that provides a unified interface for writing and reading various biosignal file formats in realtime (i.e. streaming). It has been designed to provide a flexible, consistent and generic interface to all supported file formats while minimizing the overhead the function calls: the heaviest operations (type casting, scaling and formatting) are offloaded into a separated thread. This design makes its particularly suitable to be directly used in a data acquisition loop (like in electrophysiology recording or in Brain-Computer Interfaces (BCI)).

The genericity of the interface makes trivial various operations like transformation of a recorded file or its conversion to another file format. xdffileio currently supports EDF, BDF, GDF1 and GDF2 file formats and more will be added in future.

This package contains the files needed to compile and link programs which use xdffileio.

tifffile
Read and write image data from and to TIFF files
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Image and meta-data can be read from TIFF, BigTIFF, OME-TIFF, STK, LSM, NIH, ImageJ, MicroManager, FluoView, SEQ and GEL files.

Only a subset of the TIFF specification is supported, mainly uncompressed and losslessly compressed 2**(0 to 6) bit integer, 16, 32 and 64-bit float, grayscale and RGB(A) images, which are commonly used in bio-scientific imaging. Specifically, reading JPEG/CCITT compressed image data or EXIF/IPTC/GPS/XMP meta-data is not implemented. Only primary info records are read for STK, FluoView, MicroManager, and NIH image formats.

TIFF, the Tagged Image File Format, is under the control of Adobe Systems. BigTIFF allows for files greater than 4 GB. STK, LSM, FluoView, SEQ, GEL, and OME-TIFF, are custom extensions defined by MetaMorph, Carl Zeiss MicroImaging, Olympus, Media Cybernetics, Molecular Dynamics, and the Open Microscopy Environment consortium respectively.

Debian packages in contrib or non-free

libvmtk-dev
shared links and header files for vmtk
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The Vascular Modeling Toolkit is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels.

This package contains header files and shared library links.

Please cite: < M. Piccinelli, A. Veneziani, D. A. Steinman, A. Remuzzi and L. Antiga: A framework for geometric analysis of vascular structures: application to cerebral aneurysms.. IEEE Trans Med Imaging 28(8):1141-1155 (2009)
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python-vmtk
Python interface for vmtk
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stretch1.3+dfsg-2.1+deb9u1 (non-free)amd64,i386
buster1.3+dfsg-2.3 (non-free)amd64,i386
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License: non-free
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The Vascular Modeling Toolkit is a collection of libraries and tools for 3D reconstruction, geometric analysis, mesh generation and surface data analysis for image-based modeling of blood vessels.

This package provides the Python interface for vmtk.

Please cite: < M. Piccinelli, A. Veneziani, D. A. Steinman, A. Remuzzi and L. Antiga: A framework for geometric analysis of vascular structures: application to cerebral aneurysms.. IEEE Trans Med Imaging 28(8):1141-1155 (2009)
Registry entries: SciCrunch 

Packaging has started and developers might try the packaging code in VCS

emokit
Emotiv EPOC headset Python interface
License: BSD-3
Debian package not available
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Language: Python, C

Emotive is an interface to a budget Emotiv EPOC EEG headset.

libbio-formats-java
reading and writing proprietary microscopy image data and metadata
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VCS6.0.1+dfsg-1all
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License: LGPL-3+
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Version: 6.0.1+dfsg-1

Bio-Formats is a standalone Java library for reading and writing life sciences image file formats. It is capable of parsing both pixels and metadata for a large number of formats, as well as writing to several formats.

Bio-Formats's primary purpose is to convert proprietary microscopy data into an open standard called the OME data model, particularly into the OME-TIFF file format.

Remark of Debian Med team: This library would enhance the package imagej
libctk-dev
toolkit for medical imaging application development - devel
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License: Apache License, Version 2.0
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Version: 0.1.0+git20160903~cdb75ce-1

The goals of CTK are as follows:

  • Provide a unified set of basic programming constructs that are useful for medical imaging applications development
  • Facilitate the exchange and combination of code and data
  • Document, integrate, and adapt successful solutions
  • Avoid the duplication of code and data
  • Continuously extend to new tasks within the scope of the toolkit (medical imaging) without burdening existing tasks

This package provides the CTK header files required to compile C++ programs that use CTK.

libopenmeeg-dev
openmeeg library -- development files
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License: CeCILL-B
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Version: 2.4.2-1

OpenMEEG consists of state-of-the art solvers for forward problems in the field of MEG and EEG. Solvers are based on the symmetric Boundary Element method [Kybic et al, 2005], providing excellent accuracy, particularly for superficial cortical sources. OpenMEEG can compute four types of lead fields (EEG, MEG, Internal Potential and Electrical Impedence Tomography).

This package provides static libraries and header files.

Please cite: Alexandre Gramfort, Théodore Papadopoulo, Emmanuel Olivi and Maureen Clerc: OpenMEEG: opensource software for quasistatic bioelectromagnetics. (PubMed,eprint) BioMedical Engineering OnLine 9:45 (2010)
libopenslide-java
java wrapper for reading whole slide image files
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License: LGPL-2.1
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Version: 0.12.2-1

OpenSlide is a C library that provides a simple interface to read whole-slide images also known as virtual slides.

Whole-slide images, also known as virtual slides, are large, high resolution images used in digital pathology. Reading these images using standard image tools or libraries is a challenge because these tools are typically designed for images that can comfortably be uncompressed into RAM or a swap file. Whole-slide images routinely exceed RAM sizes, often occupying tens of gigabytes when uncompressed. Additionally, whole-slide images are typically multi-resolution, and only a small amount of image data might be needed at a particular resolution.

This library currently supports:

  • Trestle (.tif)
  • Hamamatsu (.vms, .vmu)
  • Aperio (.svs, .tif)
  • MIRAX (.mrxs)
  • Generic tiled TIFF (.tif)

This package contains the java module needed to run OpenSlide applications.

libvia-dev
library for volumetric image analysis
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License: free
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Version: 1.6.0-3.1

VIA is a volumetric image analysis suite. The included libraries provide about 70 image analysis functions.

This package provides the header files and static libraries of vialib, vxlib and viaio.

Unofficial packages built by somebody else

libmni-perllib-perl
The MNI Perl Library
Responsible: NeuroDebian Team
License: Artistic License

Collection of various Perl module used by other MNI software packages.

Remark of Debian Med team: There was some previous work on this software which is stalled currently

Michael Hanke agreed to take over his stuff from mentors http://mentors.debian.net/cgi-bin/sponsor-pkglist?action=details;package=libmni-perllib-perl to Debian Med svn and start group maintenance.

*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 246113