Package: fsl Version: 5.0.9-4~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 39 Depends: fsl-core Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/oldlibs Filename: pool/non-free/f/fsl/fsl_5.0.9-4~nd+1_all.deb Size: 21598 SHA256: 407daf70dc2f84d2d393a6f465676a2fe43461fd208b1f3f0f7a75c83ecbb7ed SHA1: 1da80e541ac9b285e27d0b46cc8f10c2980fd04c MD5sum: 423506a9d605a019bbc8e8443e4e0696 Description: transitional dummy package The only purpose of this package is to enable upgrades to the new 'fsl-core' package which replaces 'fsl'. This package can safely be removed. . Users aiming to perform a complete FSL installation (including all data components) are advised to install the 'fsl-complete' package from NeuroDebian. Package: fsl-5.0 Source: fsl Version: 5.0.9-4~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 35 Depends: fsl-5.0-core Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/oldlibs Filename: pool/non-free/f/fsl/fsl-5.0_5.0.9-4~nd+1_all.deb Size: 20186 SHA256: 6ab2084bb01d47482b3661a1a8a76ea3372ebf410b4bb384f675c9f7ed84e146 SHA1: 17fc3fd9a6817924d57f1c494e8ba84af11cea80 MD5sum: 8e5374abf9eaaedd952a091b1756d45c Description: transitional dummy package The only purpose of this package is to enable upgrades to the new 'fsl-5.0-core' package which replaces 'fsl-5.0'. This package can safely be removed. . Users aiming to perform a complete FSL 5.0 installation (including all data components) are advised to install the 'fsl-5.0-complete' package from NeuroDebian. Package: fsl-5.0-core Source: fsl Version: 5.0.9-4~nd+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 38793 Depends: mozilla-firefox | www-browser, tcsh | c-shell, tk, tcl, bc, dc, python, libjs-excanvas, libc6 (>= 2.14), libexpat1 (>= 2.0.1), libgcc1 (>= 1:3.0), libgd3 (>= 2.1.0~alpha~), libgdchart-gd2-noxpm | libgdchart-gd2-xpm, libgiftiio0, libgl1-mesa-glx | libgl1, libglu1-mesa | libglu1, libnewmat10ldbl, libnifti2, libpng16-16 (>= 1.6.2-1), libstdc++6 (>= 5.2), zlib1g (>= 1:1.1.4) Recommends: fsl-atlases, fsl-5.0-eddy-nonfree, fslview Suggests: fsl-feeds, fsl-5.0-gpu, octave, mriconvert | dicomnifti, fsl-complete, condor | gridengine-client Conflicts: fsl-doc-4.1 (<< 4.1.9-5~), fsl-fslview Breaks: fsl-5.0 (<< 5.0.3) Replaces: fsl-5.0 (<< 5.0.3) Provides: fsl Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl/fsl-5.0-core_5.0.9-4~nd+1_amd64.deb Size: 8175520 SHA256: d8f44da5d6cc9aca27ac44f31f9f83d1b938aeb3bd254bbeef663281d7f1005c SHA1: ce4d134b41863d78b5bc1f984a5b2ec56fa9ca20 MD5sum: 0bec9545c433227a21238e769303d6ac Description: analysis tools for FMRI, MRI and DTI brain imaging FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Some FSL components require additional data packages (fsl-atlases, fsl-first-data, fsl-possum-data) that are currently available from the NeuroDebian repository only. For more information on how to obtain these data packages visit http://neuro.debian.net. . Users aiming to perform a complete FSL 5.0 installation (including all data components) are advised to install the 'fsl-5.0-complete' package from NeuroDebian. . FSL interoperates well with other brain imaging related software. This includes Caret, FreeSurfer (cortical flattening and modelling). All FSL tools support the NIfTI format. 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fcdda92712a9c023e32446848a8dc3f00c4e0775 fed43d7d06d517007c2d9ad5c4dcbd11d8523c22 Package: fsl-5.0-eddy-nonfree Source: fsl-eddy-nonfree Version: 5.0.9-1~nd+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 809 Depends: neurodebian-popularity-contest, fsl-5.0-core (>= 5.0.9-1~), libc6 (>= 2.14), libgcc1 (>= 1:4.1.1), libnewmat10ldbl, libstdc++6 (>= 5.2) Conflicts: fsl-5.0-core (<< 5.0.9) Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl-eddy-nonfree/fsl-5.0-eddy-nonfree_5.0.9-1~nd+1_amd64.deb Size: 271454 SHA256: 6941070451c08dca0b70c5195a372eef5dcce7608fc4785861cd04b2a1912382 SHA1: 80d7da965ff48143d1c49d9b94c655bde81a9a25 MD5sum: 5ed12d4a7406950b5309bddf2a407f45 Description: correcting eddy currents and movements in diffusion data This package provide the 'eddy' component of the FSL MRI data analysis suite. Since FSL 5.0.9 eddy is no longer included in the main fsl package, because its sources are no longer publicly available. Package: fsl-core Source: fsl Version: 5.0.9-4~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 43 Depends: fsl-5.0-core Breaks: fsl (<< 5.0.3) Replaces: fsl (<< 5.0.3) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl/fsl-core_5.0.9-4~nd+1_all.deb Size: 21370 SHA256: 08ac65d7bbb9f81f8aaf376736675416cac50055617857d9c237760f6a369915 SHA1: df35ba410fc3269d8c1694c24f31daa6d366c745 MD5sum: e4dacd3c7b5aa9f2f48bc02f93dd9199 Description: metapackage for the latest version of FSL FSL is a comprehensive library of image analysis and statistical tools for fMRI, MRI and DTI brain imaging data. The suite consists of various command line tools, as well as simple GUIs for its core analysis pipelines. Among others, FSL offers implementations of standard GLM analysis, white matter tractography, tissue segmentation, affine and non-linear co-registration, and independent component analysis. . Some FSL components require additional data packages (fsl-atlases, fsl-first-data, fsl-possum-data) that are currently available from the NeuroDebian repository only. For more information on how to obtain these data packages visit http://neuro.debian.net. . Users aiming to perform a complete FSL installation (including all data components) are advised to install the 'fsl-complete' package from NeuroDebian. Package: matlab-psychtoolbox-3 Source: psychtoolbox-3-nonfree Version: 3.0.14.20170611-1~ndall Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19 Depends: matlab-psychtoolbox-3-nonfree (= 3.0.14.20170611-1~ndall), psychtoolbox-3-common (>= 3.0.14.20170611-1~ndall.dfsg) Recommends: matlab-support Homepage: http://psychtoolbox.org Priority: extra Section: non-free/science Filename: pool/non-free/p/psychtoolbox-3-nonfree/matlab-psychtoolbox-3_3.0.14.20170611-1~ndall_all.deb Size: 4160 SHA256: 272cea9125ef32e5ce4ebab7aad2daa579662171a5e1d7f69a8540eedc7a5595 SHA1: 2db5ffdfac2e4aafb90e45b834ed0bd60de76646 MD5sum: 40e8dfce1ee7a617c5eb4c66cdca3394 Description: toolbox for vision research -- Matlab bindings Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package exposes PTB-3 within Matlab environment. It also provides a convenience script ptb3-matlab to simplify running psychtoolbox in matlab. . See also http://www.psychtoolbox.org/UsingPsychtoolboxOnUbuntu for additional information about systems tune-up and initial configuration. . For now it relies on -nonfree package providing binary builds of all PTB-3 bindings for Matlab. Package: matlab-psychtoolbox-3-nonfree Source: psychtoolbox-3-nonfree Version: 3.0.14.20170611-1~ndall Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 5046 Depends: psychtoolbox-3-lib (>= 3.0.14.20170611-1~ndall.dfsg), psychtoolbox-3-common (>= 3.0.14.20170611-1~ndall.dfsg), libx11-6, libxext6, libxfixes3, libxi6, freeglut3, libgl1-mesa-glx, libxmu6, libxpm4 Recommends: libasound2, libdc1394-22, libfreenect0.1, libglib2.0-0, libglu1-mesa, libopenal1, libpciaccess0, libusb-1.0-0 (>= 2:1.0.9~), libxml2, libxrandr2, libxxf86vm1 Homepage: http://psychtoolbox.org Priority: extra Section: non-free/science Filename: pool/non-free/p/psychtoolbox-3-nonfree/matlab-psychtoolbox-3-nonfree_3.0.14.20170611-1~ndall_amd64.deb Size: 1062638 SHA256: 8d51b312fd19684eeb0d6bd8e88d994ff1b0a040b6d192d800651df67768771a SHA1: 76ab6c9186f312d30e59e27afb3224108f268c6f MD5sum: df3a6b71bbd4d6f1f8f27a2c70d9274b Description: toolbox for vision research -- Matlab binary blobs Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains binary builds for Datapixx and Eyelink bindings for Matlab built/supported/distributed by upstream. Package: mipav Version: 5.0.0.20100907-2 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 116 Pre-Depends: debconf (>= 0.5) | debconf-2.0 Depends: openjdk-6-jre | java6-runtime, libjogl-java, libjava3d-java, wget Homepage: http://mipav.cit.nih.gov/ Priority: extra Section: non-free/science Filename: pool/non-free/m/mipav/mipav_5.0.0.20100907-2_all.deb Size: 15272 SHA256: e5979bf557f27455dfe58a2244dbc066f0d5c276ab85cad013fbacc5ab303d60 SHA1: 61e581b87f680c0dbcce05e45ef290c4133fac55 MD5sum: 44ab2224b485d68657f13ac87d35c605 Description: quantitative analysis and visualization of medical images The MIPAV (Medical Image Processing, Analysis, and Visualization) application enables quantitative analysis and visualization of medical images of numerous modalities such as PET, MRI, CT, or microscopy. Using MIPAV's standard user-interface and analysis tools, researchers at remote sites can easily share research data and analyses, thereby enhancing their ability to research, diagnose, monitor, and treat medical disorders. MIPAV provides an interface for plug-ins and serves as the foundation for other projects (e.g. JIST). . This package provides downloader/installer for non-redistributable closed-source version of MIPAV and a convenience startup wrapper. You will have a choice of reviewing the license and accepting or declining it upon installation. Package: octave-psychtoolbox-3-nonfree Source: psychtoolbox-3-nonfree Version: 3.0.14.20170611-1~ndall Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1783 Depends: octave-psychtoolbox-3 (>= 3.0.14.20170611-1~ndall.dfsg), psychtoolbox-3-common (>= 3.0.14.20170611-1~ndall.dfsg) Homepage: http://psychtoolbox.org Priority: extra Section: non-free/science Filename: pool/non-free/p/psychtoolbox-3-nonfree/octave-psychtoolbox-3-nonfree_3.0.14.20170611-1~ndall_amd64.deb Size: 407948 SHA256: 98a5f9317f9ae1f5f06f9a9d2bc729cb9dadde057b431bce3cf83ff6c6dd5fae SHA1: f09460926a13afa6e76434a675b3704b0ac101e4 MD5sum: a9d567f5d922ace2d504ccc1b0077fe2 Description: toolbox for vision research -- Octave binary blobs Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU/Octave functions for vision research. It makes it easy to synthesize and show accurately controlled visual and auditory stimuli and interact with the observer. . The Psychophysics Toolbox interfaces between Matlab or Octave and the computer hardware. The Psychtoolbox's core routines provide access to the display frame buffer and color lookup table, allow synchronization with the vertical retrace, support millisecond timing, allow access to OpenGL commands, and facilitate the collection of observer responses. Ancillary routines support common needs like color space transformations and the QUEST threshold seeking algorithm. . This package contains binary builds for Datapixx and Eyelink bindings for Octave built/supported/distributed by upstream. Package: python-fsl Source: fslpy Version: 0.10.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 457 Depends: neurodebian-popularity-contest, python-lxml, python-nibabel, cython, python-indexed-gzip, python-matplotlib, python-numpy, python-six (>= 1.10.0), python-sphinx, python-sphinx-rtd-theme, python:any (<< 2.8), python:any (>= 2.7.5-5~) Recommends: python-wxgtk3.0 Conflicts: fsl-melview (<= 1.0.1+git9-ge661e05~dfsg.1-1) Provides: python2.7-fsl Priority: optional Section: non-free/python Filename: pool/non-free/f/fslpy/python-fsl_0.10.0-1~nd+1_all.deb Size: 94790 SHA256: 6f797a81316a36a4a0d48406616f58ab67d5a1dece13d8ed8f01f7681c659ad4 SHA1: 33ff350b553dcf60c917ddf7cdb43e247e08af35 MD5sum: 2ac97d6fb5270b8f57e6d04128b4f993 Description: FSL Python library Support library for FSL. . This package provides the Python 2 module. Package: python-props Source: props Version: 0.9.14-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 650 Depends: neurodebian-popularity-contest, python-wxgtk3.0, python-matplotlib, python-numpy, python-six, python-sphinx, python-sphinx-rtd-theme, python:any (<< 2.8), python:any (>= 2.7.5-5~) Provides: python2.7-props Priority: optional Section: non-free/python Filename: pool/non-free/p/props/python-props_0.9.14-1~nd+1_all.deb Size: 117926 SHA256: 098798fe2acd7720bd55feac87aab8887799803987cc39046a42272909865736 SHA1: 0be78cd40bfb26cc4f8e1a524cbf75ba7c74a2c9 MD5sum: 829c0563f3f440f2465f5da9de90eb76 Description: Python descriptor framework Event programming framework with the ability for automatic CLI generation, and automatic GUI generation (with wxPython). . This package provides the Python 2 module. Package: python3-fsl Source: fslpy Version: 0.10.0-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 454 Depends: neurodebian-popularity-contest, python3-lxml, python3-nibabel, cython3, python3-indexed-gzip, python3-matplotlib, python3-numpy, python3-six (>= 1.10.0), python3-sphinx, python3-sphinx-rtd-theme, python3:any (>= 3.3.2-2~) Priority: optional Section: non-free/python Filename: pool/non-free/f/fslpy/python3-fsl_0.10.0-1~nd+1_all.deb Size: 94564 SHA256: d696efeed31fd2da34aacd9e554ee5f46ae16a60413b7581ee658b761e99d901 SHA1: 50aba60b37a55224b1a439b477aa1d17c3ef888f MD5sum: 66f93b039352a677ab50003e8c15befa Description: FSL Python library Support library for FSL. . This package provides the Python 3 module. Package: virtual-mri-nonfree Source: vmri-nonfree Version: 3.2.14-1~nd+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 3063 Depends: neurodebian-popularity-contest, openjdk-7-jre | java-runtime Homepage: http://www.iftm.de/elearning/vmri/idx_vmri.htm Priority: extra Section: non-free/science Filename: pool/non-free/v/vmri-nonfree/virtual-mri-nonfree_3.2.14-1~nd+1_all.deb Size: 2051858 SHA256: 0443217eab5c6bbbeabbdfa7636abcc0664a5930257c2c08c5307b0939b37a2b SHA1: 7f381aa56aa2560d6d89d40dd831b619e9c9165b MD5sum: 2d1600df56649fe3954e4afe16442100 Description: Virtual Magnetic Resonance Imager A realistic simulation of magnetic reasonance imaging that allows for exploring the most relevant parameters of a scanner to aid training of students and doctors. . At the moment the pulse sequence classes SR, IR, SE, TSE, FLASH and FISP are implemented. Parameters, like TR, TE, TI, flip-angle or echo train length, can be adjusted. The choice of matrix size, FOV, slice-thickness and number of acquisitions affect the signal-to-noise ratio of the images. In a first step, the simulation calculates the signal intensity in the k-space. Aliasing- and motion-artifacts are simulated by modifying the k-space data. In a last step, a 2D-fouriertransform of the k-space data is performed. Window and center of the resulting images can be changed.