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Brain Biomechanics Imaging Resources Latest NewsBrain Biomechanics Imaging Resources : 100 volumes online
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30 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.<br />
36 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).<br />
34 subjects from Washington University in St. Louis, imaged with magnetic resonance elastography at multiple frequencies (20Hz, 30Hz, 50Hz, 70Hz, 90Hz).<br />
All data includes structural magnetic resonance images (T1-w, T2-w) and diffusion weighted images.<br />
The structural images have been processed with SLANT-MACRUISE. The diffusion images with TORTOISE.Brain Biomechanics Imaging Resourcesaaron_carassFri, 09 Sep 2022 1:38:50 GMTBrain Biomechanics Imaging Resources : 56 datasets available
http://dev.nitrcce.org/forum/forum.php?forum_id=9816
10 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.<br />
36 subjects from the University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).<br />
10 subjects from Washington University in St. Louis, imaged with magnetic resonance elastography at multiple frequencies (20Hz, 30Hz, 50Hz, 70Hz, 90Hz).<br />
All data includes structural magnetic resonance images (T1-w, T2-w) and diffusion weighted images.<br />
The structural images have been processed with SLANT-MACRUISE. The diffusion images with TORTOISE.Brain Biomechanics Imaging Resourcesaaron_carassWed, 08 Jun 2022 12:15:23 GMTBrain Biomechanics Imaging Resources : 30 datasets available
http://dev.nitrcce.org/forum/forum.php?forum_id=9682
* 10 subjects from the Henry Jackson Foundation, imaged with tagged magnetic resonance.<br />
* 10 subjects from University of Delaware, imaged with high resolution magnetic resonance elastography at multiple frequencies (30Hz, 50Hz, 70Hz).<br />
* 10 subjects from Washington University in St. Louis, imaged with magnetic resonance elastography at multiple frequencies (20Hz, 30Hz, 50Hz, 70Hz, 90Hz).<br />
* All data includes structural magnetic resonance images (T1-w, T2-w) and diffusion weighted images.<br />
* The structural images have been processed with SLANT-MACRUISE. The diffusion images with TORTOISE.<br />
* Individual subjects can be downloaded or complete site sets.<br />
* Site information and subject details can be found in the available BBIR documents.Brain Biomechanics Imaging Resourcesaaron_carassTue, 02 Nov 2021 1:44:39 GMTBrain Biomechanics Imaging Resources Updated Release
http://dev.nitrcce.org/forum/forum.php?forum_id=9561
Brain Biomechanics Imaging Resources is releasing updated data.<br />
We now have magnetic resonance elastography (MRE) data for 15 subjects (6 subjects at 3 frequencies; 9 subjects at 5 frequencies). The corresponding structural data has been processed by MACRUISE and aligned to the MRE space.<br />
Simultaneously acquired diffusion weighted images (DWI) are provided for all 15 subjects, processed by TORTOISE, and also aligned to the MRE space.Brain Biomechanics Imaging Resourcesaaron_carassTue, 16 Feb 2021 3:20:43 GMTBBIR Release of R56-NS055951-v01
http://dev.nitrcce.org/forum/forum.php?forum_id=9401
The Brain Biomechanics Imaging Resources makes available six data sets that provide 3D estimates over time of how the in-vivo, human brain deforms in response to measured mild accelerative loading of the skull during neck rotation (N=3) and neck extension (N=3). The data were obtained using tagged magnetic resonance imaging (MRI). An MRI-compatible motion position sensor was used to record the loading conditions during the impact event. Estimates of full-field brain-skull displacement and Lagrangian strain were estimated using the harmonic phase finite element method. In order to relate brain deformation to subject-specific brain structure, additional anatomical MRI data were acquired and rigidly aligned to the measurements of brain deformation to enable characterization of anatomical structures, and the orientation of white matter fibers. These data sets are a unique resource for researchers interested in evaluating and calibrating computational models of traumatic brain injury using in vivo experimental data. Additionally, the anatomical MRI data can be used to create subject-specific computational models, which can then be directly compared to the provided measurements of brain deformation.Brain Biomechanics Imaging Resourcesaaron_carassWed, 04 Mar 2020 1:32:25 GMT