Copyright 1999-2000 VA Linux Systems, Inc. http://www.nitrc.org PANDA: a pipeline tool for diffusion MRI Latest News http://www.nitrc.org/forum/forum.php?forum_id=5490 The diffusion MRI data processing toolbox PANDA v1.3.0 (http://www.nitrc.org/projects/panda/) was released.<br /> <br /> PANDA (Pipeline for Analyzing braiN Diffusion imAges) is a matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography. Particularly, there are 3 types of resultant diffusion parameter data: WM atlas-level, voxel-level and TBSS-level. The brain network generated by PANDA has various edge definitions, e.g. fiber number, length, FA or probability-weighted. <br /> <br /> Some new features were added in this version:<br /> <br /> I. Improvements in data analysis<br /> 1. Using the average of all the B0 images as reference for eddycurrent correction.<br /> 2. Statistical analysis and results display GUI for TBSS analysis.<br /> 3. Combining TBSS and white matter atlas to calculate the average value of skeleton image in each ROI, the results can be statistically analysed using SPSS.<br /> 4. T1 template can be defined by the user in the network node definition part.<br /> <br /> II. New Utilities<br /> 1. Utility Cluster Locator for localizing the statistically significant areas.<br /> 2. Utility White Matter Mask for calculating white matter mask using FA images of all subjects.<br /> 3. Utility ROI-mask Extractor for extracting ROI from prior atlas.<br /> 4. Utility Between-atlas Mapping for mapping high-resolution atlas to anatomical atlas, such as mapping random 1024 atlas to the 90 AAL atlas.<br /> 5. Utility ROI-mean Extractor for calculating average value of an image in the mask.<br /> 6. Utility Merge NIfTI for merging multiple 3D images into a 4D image.<br /> 7. Utility Image Smoother for smoothing NIFTI images.<br /> 8. Adding two parameters (-S: eye &amp; optic nerve cleanup, and –B: bias field &amp; neck cleanup) for Utility Brain Extraction (T1).<br /> <br /> III. Others<br /> 1. Fixing some bugs in previous version<br /> 2. Writing a detailed manual document which elaborates the questions asked by the users before. PANDA: a pipeline tool for diffusion MRI Zaixu Cui Wed, 26 Aug 2015 1:29:44 GMT http://www.nitrc.org/forum/forum.php?forum_id=3838 PANDA (Pipeline for Analyzing braiN Diffusion imAges) is a matlab toolbox for pipeline processing of diffusion MRI images. For each subject, PANDA can provide outputs in 2 types: i) diffusion parameter data that is ready for statistical analysis; ii) brain anatomical networks constructed by using diffusion tractography. Particularly, there are 3 types of resultant diffusion parameter data: WM atlas-level, voxel-level and TBSS-level. The brain network generated by PANDA has various edge definitions, e.g. fiber number, length, FA or probability-weighted. <br /> <br /> Now, the version 2 of PANDA has been finished, in which a few bugs are fixed and many new functions (http://code.google.com/p/panda-tool/) are added.<br /> In addition, we have made a mailing list (http://www.nitrc.org/mailman/listinfo/panda-commits) for PANDA. We will send update information of PANDA through this mailing list in the future. Please join in the mailling list if you like.<br /> <br /> Thanks for your interests and supports on our work! PANDA: a pipeline tool for diffusion MRI Zaixu Cui Tue, 30 Apr 2013 3:43:25 GMT