MRtrix - a set of tools to perform diffusion-weighted MR white-matter tractography in a manner robust to crossing fibres, using constrained spherical deconvolution (CSD) and probabilistic streamlines.MRIcron - GUI-based visualization and analysis tool for (functional) MRI.MRIConvert - a medical image file conversion utility that converts DICOM files to NIfTI 1.1, Analyze 7.5, SPM99/Analyze, BrainVoyager, and MetaImage volume formats.MITK Diffusion - a selection of image analysis algorithms for the processing of diffusion-weighted MR images.MITK - for development of interactive medical image processing software.ITK-Snap - segment structures in 3D medical images. Ginkgo CADx - extensible multi-platform Open Source Medical Imaging software which provides a complete DICOM Viewer solution.FSL - image analysis and statistical tools for fMRI, MRI, and DTI brain imaging data.DSI Studio - for diffusion MR images analysis.Connectome Viewer - connects Multi-Modal Multi-Scale Neuroimaging and Network Datasets For Analysis and Visualization in Python.Connectome Analyzer - analyze connectomes from any source (DSI, DTI, QBall, rs-fMRI, etc…) at different scales (global, subnetworks and local).Caret - enables the user to create, view, and manipulate surface reconstructions of the cerebral and cerebellar cortex.UCL Camino Diffusion MRI Toolkit - for diffusion MRI processing.AFNI - for processing and displaying functional MRI data.3D Slicer - image analysis algorithms for diffusion tensor imaging, functional magnetic resonance imaging, and image-guided therapy.It also provides a practical means of sharing analysis environments across sites. Lin4Neuro can be a good primer for beginners of neuroimaging analysis or students who are interested in neuroimaging analysis. It is developed by Kiyotaka Nemoto (Associate Professor at Department of Psychiatry, Faculty of Medicine, University of Tsukuba, Japan). Lin4Neuro is a customized ubuntu distro especially for neuroimaging analysis. In the following list, we take a look at the best medical and scientific Linux distros. Although you can install specific packages in any Linux distro, a specialized distro will save time if you want to unify the working environment in labs or small institutions for example. Maybe some binary ITK based image viewer that I could download? I think it should be easy, even for me, to modify the Java MHD reader in ImageJ to read this new DimensionOrder field and construct an appropriate ImagePlus (hyperstack).Linux ecosystem is very big and diverse, and there are some Linux distros that aim specifically for medical and scientific communities. Is there a simple way to test whether ITK would properly read a given MHD file.Is it correct to also specify an ElementSize for the time dimension (as I did in above example) or should one only specify sizes for the spatial dimensions?.Would ITK ignore this or crash? Or maybe one could even make it read it?.ObjectType = Imageĭo you think it would be an option to add a new key-value pair for the dimension order, like this: DimensionOrder = X Y Z T Note: I manually added the 4th (time) dimension. Right now the metadata of a 4D image would look like this right? Sounds great! Motivates me to use it even more MHA/MHD are well supported in ITK and can handle very fast streamed writing, ref this post and next in thread:
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |