Package: fsl Version: 5.0.9-3~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_5.0.9-3~nd+1_all.deb Size: 21564 SHA256: 8a7d8edf4e9b7a00e85a46ab33d269132264940bdf704868947779672f256e76 SHA1: a02ebeb88c4f1fb2bf0c966c4181336d65d53bbd MD5sum: c6377b992d193621f76b8ad9b7f6443b 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: 5.0.9-3~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_5.0.9-3~nd+1_all.deb Size: 20154 SHA256: 1d5482798e12f698aefd0ab993dc30ec8001a70e094b83d91748aa52d357eca6 SHA1: c7c5e21eb3d32143f678286df3d8a4f2676158ba MD5sum: 742fffc42d886aecf68414dd73d69939 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: 5.0.9-3~nd+1 Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 38879 Depends: mozilla-firefox | www-browser, tcsh | c-shell, tk, tcl, bc, dc, python, libjs-excanvas, libc6 (>= 2.14), libexpat1 (>= 2.0.1), libgcc1 (>= 1:4.0), 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_5.0.9-3~nd+1_amd64.deb Size: 8025902 SHA256: f987bb206e43b68f39f43a6e11ff1511c37a6453ca6fdbce9352c85859c1925d SHA1: 3af6214c1c94a30c9662c726f253b3744ff51be3 MD5sum: 8321a132a9ef53a9bca87a713a93b16d 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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fe60e464f84474d2e594fba7555dd9ecc3f15357 ff309862c6ee1609e35f540d66d45a09c24ee1f6 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: 5.0.9-3~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_5.0.9-3~nd+1_all.deb Size: 21342 SHA256: 9d82d0f7a3cde9bbab7f1327aa57d6efc86eba96cf0d6c75ff0b2fbafe00ff59 SHA1: 834ad6f2f71389e44bf4398efe09adafbc5747d0 MD5sum: f8ec0bd503f3bcb038f2d7adf5dc77a9 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: 3.0.14.20170103+git6-g605ff5c-1~ndall Architecture: all Maintainer: NeuroDebian Team Installed-Size: 19 Depends: matlab-psychtoolbox-3-nonfree (= 3.0.14.20170103+git6-g605ff5c-1~ndall), psychtoolbox-3-common (>= 3.0.14.20170103+git6-g605ff5c-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_3.0.14.20170103+git6-g605ff5c-1~ndall_all.deb Size: 4152 SHA256: 4fcb1cc803ef77f25613cc8a055c3351083aa1d6423ce5607e0a78ef3f196206 SHA1: 8d5dfebbd499280d9c13334393f3f796001702c5 MD5sum: fa417a692ba93a7a2f6799d4800929b3 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: 3.0.14.20170103+git6-g605ff5c-1~ndall Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 5012 Depends: psychtoolbox-3-lib (>= 3.0.14.20170103+git6-g605ff5c-1~ndall.dfsg), psychtoolbox-3-common (>= 3.0.14.20170103+git6-g605ff5c-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_3.0.14.20170103+git6-g605ff5c-1~ndall_amd64.deb Size: 1050378 SHA256: d40656f96ed77b9e7702a94532677607efee38e42efd2813fefa782701b215d8 SHA1: b5f7b761670823efa3d21ad37006b7ad76f88c27 MD5sum: 1ded9f37ffeb2b360b034c84c2ddffcb 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: 3.0.14.20170103+git6-g605ff5c-1~ndall Architecture: amd64 Maintainer: NeuroDebian Team Installed-Size: 1783 Depends: octave-psychtoolbox-3 (>= 3.0.14.20170103+git6-g605ff5c-1~ndall.dfsg), psychtoolbox-3-common (>= 3.0.14.20170103+git6-g605ff5c-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_3.0.14.20170103+git6-g605ff5c-1~ndall_amd64.deb Size: 406858 SHA256: 596e0d51afd0ec0360d2c3ec152cdf6654ca7fb5992590c4cc3de6255dcb2240 SHA1: 2e4108657769a11f24e9e13a26434cefbfa6ab01 MD5sum: 4bd3bb66efd58cc3d7851ed9603a2165 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.