Pipelines vs Software Characteristics Clause Samples

Pipelines vs Software Characteristics. This last table provides detailed information about popular pipeline toolkits in terms of supported Operating System(s) (OS), licensing conditions, programming languages and data formats, while recalling available imaging features. This is useful to understand the potential difficulty which will be faced to gridify a given toolkit. Criteria / Pipelines OS Licensing Prog. Language Supported Data Format Features SPM OS Independent GPL* Matlab Analyze, NIftTI-1*, MINC* Images Visualization Segmentation (apriori- based) Registration (linear and affine) Warping (Jacobian) Volumetric Analysis (density and volume) fMRI analysis PET analyses FSL MacOS X, Windows NT / 2000, Linux and SunOS / Solaris FSL* License C / C++ Analyze*, NIftTI-1* Images Visualization (FSLview) Segmentation (FAST) Registration (FLIRT) Affine Warp cross-sectional (SIENAX) and longitudinal (SIENA) Volumetric Analysis fMRI analysis (FEAT) Independent Component Analysis (MELODIC) Tractography (FDT) Diffusion tensor voxelwise analysis (TBSS) LoNI MacOS X, Windows NT / 2000, Linux and SunOS/Solaris LoNI Software Licence Java AFNI BRIK, Analyze*, bshort / bfloat, DICOM*, MGH/MGZ, MINC*, MINC2, NIftTI-1* Image conversion (MNI toolkit) Non-uniformity correction (MNI) Segmentation (MNI) Warping (sulci based; flat maps) Image visualization (DISPLAY) IDeALab Linux (Fedora core) + SunOS/Solaris PV-Wave & Quanta license PV-wave, Shell Scripting Analyze*, Quanta, Interfile Image conversion Images Visualization (sv) WMHs Segmentation (Quanta) Linear Registration Warping (Spline) B-MAP / HERMES Unix for backend, Windows for frontend HERMES Commercial Licence --- --- Image Conversion, Interpolation, Template of reference brains, Masking of extra-cranial tissue, Morphing, Signal Inhomogeneity (Bias field), Tissue Segmentation (Gaussian Estimation, Fuzzy Cluster Analysis), Segmentation with ROI Analysis. MNI MacOS X, Linux and --- C, Perl, (some MINC* Image Conversion, SGI IRIX Java for Images Visualization, visualization) Anatomical Regions Labelling, Sulcal Extraction, Cortex Extraction, Image Resampling, Statistical Analysis This table gives concrete technical hints on the toolkits gridification* applicability. Indeed, it shows that most of them are not cross-platform, except SPM. Toolkits accept potentially different file formats – although image converters exist – and last but not least, toolkits are developed under diverse programming languages. From interaction with end-users and with concrete demonstr...