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URL: http://www.cise.ufl.edu/~abarmpou/lab/fanDTasia/
Proper Citation: fanDTasia Java Applet: DT-MRI Processing (RRID:SCR_009624)
Description: A Java applet tool for DT-MRI processing. It opens Diffusion-Weighted MRI datasets from user's computer and performs very efficient tensor field estimation using parallel threaded processing on user's browser. No installation is required. It runs on any operating system that supports Java (Windows, Mac, Linux,...). The estimated tensor field is guaranteed to be positive definite second order or higher order and is saved in user's local disc. MATLAB functions are also provided to open the tensor fields for your convenience in case you need to perform further processing. The fanDTasia Java applet provides also vector field visualization for 2nd and 4th-order tensors, as well as calculation of various anisotropic maps. Another useful feature is 3D fiber tracking (DTI-based) which is also shown using 3d graphics on the user's browser.
Abbreviations: fdt
Synonyms: FanDTasia
Resource Type: data processing software, image processing software, software application, software resource
Keywords: magnetic resonance, dti, diffusion-weighted mri
Funding: NIBIB EB007082; NINDS NS066340
Availability: Non-Commercial Software License Agreement, Https://www.nitrc.org/include/glossary.php#589, Non-commercial
Resource Name: fanDTasia Java Applet: DT-MRI Processing
Resource ID: SCR_009624
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
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