Difference between revisions of "DBP:Harvard:Collaboration:MITDTI"

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== Current Projects ==
 
== Current Projects ==

Latest revision as of 21:47, 22 December 2007

Home < DBP:Harvard:Collaboration:MITDTI
Back to Harvard DBP 1

Current Projects

  • Diffusion measures along fiber tracts of the cingulum bundle
    • We are trying to obtain diffusion measures (FA, trace, etc.) along fiber tracts of the cingulum bundle, comparing schizophrenic patients with control subjects.
    • Participants:
      • MIT: CF Westin, Lauren O'Donnell, Raul San Jose
      • PNL: Marc Neithammer, Sylvain Bouix, Marek Kubicki, Mark Dreusicke
  • Clustering of anatomically distinct fiber tracts
    • Lauren O'Donnell (LMI) has developed a method to cluster fiber tracts based on their location and the regions they connect
    • Participants:
      • MIT: Lauren O'Donnell, CF Westin
      • PNL: Marek Kubicki, Mark Dreusicke, Martha Shenton
  • FA/trace measurements of the corpus callosum and anterior commissure
    • Using ROI labelmaps drawn on sagittally acquired DTI data (higher resolution in sagittal plane), we are calculating diffusion measures in the corpus callosum and anterior commissure of schizophrenic patients.
    • This project has involved the coregistration of sagittal and coronal tensor data.
    • Fiber tracking (and clustering) is currently being applied to these cases
    • Participants:
      • MIT: Lauren O'Donnell, CF Westin, Scott Hoge
      • PNL: Marek Kubicki, Mark Dreusicke

Progress

  • Software Testing: Scalar measure outputs from the DTMRI module of Slicer (FA and trace) are being compared with standard protocol measurements.
  • Fiber tracking using multiple ROIs: We are testing the use of multiple ROIs to identify fiber tracts of interest.
  • Fiber clustering: A unique method has been developed to cluster fiber tracts based on their anatomical connectivity.
  • High resolution DTI acquisition: We are experimenting with the fiber tracking of higher resolution DTI scans.
  • Coregistration of sagittal/coronal DTI: To use ROI labelmaps drawn on sagittally acquired data, we have developed a method to coregister the tensors of sagittal and coronal scans, so that labelmaps can be applied to full-brain coronal DTI acquisitions.
  • DICOM files: We have ensured that DICOM DTI images are able to read in the Slicer.
  • Masking FA/trace maps: Because of file type incompatability, scalar volumes from the DTMRI module could not be masked with ROI labelmaps. The problem has since been solved.

Publications

  • Lauren O'Donnell, Carl-Fredrik Westin. White Matter Tract Clustering and Correspondence in Populations. MICCAI 2005
  • Lauren O'Donnell, Marek Kubicki, Martha E. Shenton, W. Eric L. Grimson, Carl-Fredrik Westin. A Method for Clustering White Matter Fiber Tracts. AJNR (In Press)

Links