Package: fsl Version: 4.1.9-6~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 40 Depends: fsl-4.1 (>= 4.1.6-4~) Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl/fsl_4.1.9-6~nd60+1_all.deb Size: 18792 SHA256: a57605d6a19bf1a0be50efa8fef67f287bb8fd251e806a7f742ccd9618b25a03 SHA1: 57310c4cce0573441bfb9fc57d51db0d6257ab3a MD5sum: f8bd6594782130542c65db3b0cf044a5 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. Package: fsl-4.1 Source: fsl Version: 4.1.9-6~nd60+1 Architecture: i386 Maintainer: NeuroDebian Team Installed-Size: 27136 Depends: libc6 (>= 2.7), libgcc1 (>= 1:4.1.1), libgd2-noxpm (>= 2.0.36~rc1~dfsg) | libgd2-xpm (>= 2.0.36~rc1~dfsg), libgdchart-gd2-noxpm | libgdchart-gd2-xpm, libnewmat10ldbl, libnifti2, libpng12-0 (>= 1.2.13-4), libstdc++6 (>= 4.4.0), zlib1g (>= 1:1.1.4), mozilla-firefox | www-browser, tcsh | c-shell, tk8.4 (>= 8.4.7), tcl8.4 (>= 8.4.7), bc, dc Recommends: fsl-doc-4.1 (= 4.1.9-6~nd60+1), fsl-atlases, fslview Suggests: fsl-feeds, octave | octave3.2 (>= 3.2.4), dicomnifti, fsl-possum-data, fsl-first-data, gridengine-client Conflicts: fsl-doc-4.1 (<< 4.1.9-5~), fsl-fslview Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/science Filename: pool/non-free/f/fsl/fsl-4.1_4.1.9-6~nd60+1_i386.deb Size: 10191236 SHA256: a83b986d68da464839fe57fa2424d4df444bfc781b9ffc07321ee0d84f55554f SHA1: 2cad649766ca89d863b07c1b52df943b0d58ee9a MD5sum: 4ad1c35dd19ba2a0746072696937d3c6 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. . FSL interoperates well with other brain imaging related software. This includes Caret, FreeSurfer (cortical flattening and modelling). All FSL tools support the NIfTI format. Package: fsl-doc Source: fsl Version: 4.1.6-1~squeeze.nd1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 18356 Depends: fslview-doc Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/doc Filename: pool/non-free/f/fsl/fsl-doc_4.1.6-1~squeeze.nd1_all.deb Size: 11171278 SHA256: 9b33f8e5f15c9d4dd1a4f4c991ac3342494dc889fc6b8f355ca29084e9ea2d01 SHA1: c42a214ed78ff3bd00816cdcc84688d8b754ae03 MD5sum: 9a101564891e9bda59ff6442df69a148 Description: documentation for 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 commandline 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. FSL is a comprehensive library of image analysis and statistical tools for FMRI, MRI and DTI brain imaging data. . This package provides the FSL documentation in HTML format. Package: fsl-doc-4.1 Source: fsl Version: 4.1.9-6~nd60+1 Architecture: all Maintainer: NeuroDebian Team Installed-Size: 18088 Recommends: fslview-doc Provides: fsl-doc Homepage: http://www.fmrib.ox.ac.uk/fsl/ Priority: optional Section: non-free/doc Filename: pool/non-free/f/fsl/fsl-doc-4.1_4.1.9-6~nd60+1_all.deb Size: 11202302 SHA256: ae4d30edf665fa787ffee70fad7919517e6b8f7a87bf8c6f1bde72fc4afa4175 SHA1: a12ca1ce9985bc9f9cc238517b42733a9bf8fc52 MD5sum: ea31f0993274a0b1edf4b9362ec50bc4 Description: documentation for 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. FSL is a comprehensive library of image analysis and statistical tools for FMRI, MRI and DTI brain imaging data. . This package provides the FSL documentation in HTML format. 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.