1 / 9

Multi-Site mcDESPOT

Multi-Site mcDESPOT. Nov. 7, 2011 Jason Su. Motivation. Primary advantage of mcDESPOT is whole-brain coverage Enables the analysis of maps in standard space, voxel-by-voxel comparisons between normal and subjects or between longitudinal time points

helga
Download Presentation

Multi-Site mcDESPOT

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Multi-Site mcDESPOT Nov. 7, 2011 Jason Su

  2. Motivation • Primary advantage of mcDESPOT is whole-brain coverage • Enables the analysis of maps in standard space, voxel-by-voxel comparisons between normal and subjects or between longitudinal time points • Need assess the reliability of this methodology as well as mcDESPOT at many sites

  3. London & Dresden • MSmcDESPOT – 26 normals • London, Canada • Mean age 42, max 66, min 24 • 1.7x1.7x2mm, 128x128x76 • GE 1.5T 14-15x, 8ch head coil • 9 SPGR angles, 9 phase-cycled SSFP angles • DEV/CISmcDESPOT – 26 normals (more in progress) • Dresden, Germany • Mean age 31, max 52, min 20 • Siemens 1.5T Sonata (Syngo MR A30 4VA30A), coil? • Scanner recon to 256x256x96 • Downsampled to 160x160x96 with linear interp. for processing • 9 SPGR angles, 9 SSFP angles no phase-cycling • SPGR angles same • SSFP angles covers lower range 9-60 deg. (vs. 11-67 deg.)

  4. Methods • Same pre-processing pipeline as MSmcDESPOT, i.e. coregistration and brain masking to SPGR fa18 target via FSL • Processing for Dresden is different, using older version of Sean’s code w/o phase-cycling • pcmcdespot supports non-phase-cycled data sets, not sure why they went with this • Nonlinear registration to 1mm MNI standard space with SPGR registration target • Voxel-by-voxel rank sum test in standard space

  5. Results • MWF is significantly different between the normal groups of the two sites in a majority of WM • Regions where the groups are indistinguishable are generally regions where the standard deviation is high due to imperfect registration

  6. MNI152

  7. Rank Sum MWF Significance Map

  8. Std. Dev. of MWF in London

  9. MWF • In *** ROI • London, mean 0.105, std 0.0797 • Dresden, mean 0.177 std 0.0632 London Dresden

More Related