Difference between revisions of "Data:DBP2:Harvard"

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=== Data Description ===
 
=== Data Description ===
  
<put data description information here>
+
*1. Structural MRI (sMRI).* *For the Structural MRI volume measurements, images will be acquired using a 3T GE) at BWH in Boston, MA. We will use an 8 Channel coil in order to perform parallel imaging using ASSET (Array Spatial Sensitivity Encoding techniques, GE) with a SENSE-factor (speed-up) of 2. The structural MRI acquisition protocol will include two MRI pulse sequences. The first results in contiguous spoiled gradient-recalled acquisition (fastSPGR) with the following parameters; TR=7.4ms, TE=3ms, TI=600, 10 degree flip angle, 25.6cm^2 field of view, matrix=256x256. The voxel dimensions are 1x1x1 mm. The second- XETA (eXtended Echo Train Acquisition) produces a series of contiguous T2-weighted images (TR=2500ms, TE=80ms, 25.6 cm^2 field of view, 1 mm slice thickness). Voxel dimensions are 1x1x1 mm.
 
+
*2. Diffusion Tensor Imaging (DTI). DTI scans will be acquired on a 3 Tesla GE system using an echo planar imaging (EPI) DTI Tensor sequence. We will use a double echo option to reduce eddy-current related distortions (Heid 2000; Alexander 1997). To reduce impact of EPI spatial distortion, we will use an 8 Channel coil that will allow us to perform parallel imaging using ASSET (Array Spatial Sensitivity Encoding Techniques, GE) with a SENSE-factor (speed-up) of 2. We will acquire 51 directions with b=*9*00, 8 baseline scans with b=0. The following scan parameters will be used: TR 17000 ms, TE 78 ms, FOV 24 cm, 144x144 encoding steps, 1.7 mm slice thickness. We will acquire *85* axial slices parallel to the AC-PC line covering the whole brain. In addition, Bo field inhomogeneity maps will be collected.
== '''Brockton VA/Harvard Structural and DTI Images''' ==
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*3. We will add one more EPI BOLD sequence at the end of the structural protocol (as it requires Brain Wave software, available only with 8 Channel coil), which will be an integral part of the functional data acquisition and analysis protocol. This sequence -- the resting state fMRI -- will be 10 minutes long, and will contain 200 repetitions of a high resolution EPI scan (96x96 in plane, 3mm thickness, TR-3000 ms, TE=30, 39 slices, ASSETT). Subjects will be asked to close their eyes, and rest, while the magnet is running.
 
 
=== Data Description ===
 
 
 
* '''Structural Data Description'''
 
** [[Brockton_MRI_Scan_Parameters|Scan Parameters and Description of Files]]
 
** [[DBP:Harvard:MorphROI|Regions of Interest Description and References]]
 
* '''DTI Data Description'''
 
** [[Brockton_DTI_Scan_Parameters|Scan Parameters and description of files]]
 
** [[DBP:Harvard:DTIROI|Regions of Interest Description and References]]
 
* [https://portal.nbirn.net:443/gridsphere/gridsphere?cid=srbfilebrowser&gs_action=gotoDirectory&zBx_dirpath=%2Fhome%2FProjects%2FNAMIC__0003%2FFiles%2FHarvard%2Fdocs&up=zBx&JavaScript=enabled Spreadsheets giving diagnosis, gender, age of subjects as well as information about the different structure delineated]
 
  
 
=== Data Contact ===
 
=== Data Contact ===
  
 
If you have any questions about the data, please contact Sylvain Bouix (sylvain@bwh.harvard.edu) or Doug Terry (dougt@bwh.harvard.edu) at Harvard.
 
If you have any questions about the data, please contact Sylvain Bouix (sylvain@bwh.harvard.edu) or Doug Terry (dougt@bwh.harvard.edu) at Harvard.

Revision as of 15:05, 3 September 2008

Home < Data:DBP2:Harvard

Back to Harvard DBP 2, DBP 2 Data

Harvard Data

Data Access

To download this data, click on the following links:

  • Ensure you are logged into the portal portal
  • Download Structural MRI
  • Download DTI data
    • The header for each DWI file is obsolete and incorrect, download Harvard_VA_nhdr.tgz and overwrite the DWI nrrd headers

Data Description

  • 1. Structural MRI (sMRI).* *For the Structural MRI volume measurements, images will be acquired using a 3T GE) at BWH in Boston, MA. We will use an 8 Channel coil in order to perform parallel imaging using ASSET (Array Spatial Sensitivity Encoding techniques, GE) with a SENSE-factor (speed-up) of 2. The structural MRI acquisition protocol will include two MRI pulse sequences. The first results in contiguous spoiled gradient-recalled acquisition (fastSPGR) with the following parameters; TR=7.4ms, TE=3ms, TI=600, 10 degree flip angle, 25.6cm^2 field of view, matrix=256x256. The voxel dimensions are 1x1x1 mm. The second- XETA (eXtended Echo Train Acquisition) produces a series of contiguous T2-weighted images (TR=2500ms, TE=80ms, 25.6 cm^2 field of view, 1 mm slice thickness). Voxel dimensions are 1x1x1 mm.
  • 2. Diffusion Tensor Imaging (DTI). DTI scans will be acquired on a 3 Tesla GE system using an echo planar imaging (EPI) DTI Tensor sequence. We will use a double echo option to reduce eddy-current related distortions (Heid 2000; Alexander 1997). To reduce impact of EPI spatial distortion, we will use an 8 Channel coil that will allow us to perform parallel imaging using ASSET (Array Spatial Sensitivity Encoding Techniques, GE) with a SENSE-factor (speed-up) of 2. We will acquire 51 directions with b=*9*00, 8 baseline scans with b=0. The following scan parameters will be used: TR 17000 ms, TE 78 ms, FOV 24 cm, 144x144 encoding steps, 1.7 mm slice thickness. We will acquire *85* axial slices parallel to the AC-PC line covering the whole brain. In addition, Bo field inhomogeneity maps will be collected.
  • 3. We will add one more EPI BOLD sequence at the end of the structural protocol (as it requires Brain Wave software, available only with 8 Channel coil), which will be an integral part of the functional data acquisition and analysis protocol. This sequence -- the resting state fMRI -- will be 10 minutes long, and will contain 200 repetitions of a high resolution EPI scan (96x96 in plane, 3mm thickness, TR-3000 ms, TE=30, 39 slices, ASSETT). Subjects will be asked to close their eyes, and rest, while the magnet is running.

Data Contact

If you have any questions about the data, please contact Sylvain Bouix (sylvain@bwh.harvard.edu) or Doug Terry (dougt@bwh.harvard.edu) at Harvard.