DBP1:Harvard

From NAMIC Wiki
Revision as of 17:10, 18 December 2007 by Dougm (talk | contribs)
Jump to: navigation, search
Home < DBP1:Harvard
Back to NA-MIC DBP 1

Overview of Harvard PNL DBP 1

<Overview here>

For more introductory information, follow this link.

Harvard PNL Projects

Shapecaudate.png

Shape Analysis of Brain Structures

In this work, we present shape analysis algorithms for brain structures. More...

New: G Gerig, S Joshi, T Fletcher, K Gorczowski, S Xu, S M. Pizer, M Styner: Statistics of populations of images and its embedded objects: Driving applications in neuroimaging, IEEE Symposium on Biomedical Imaging ISBI 2006.

Dti-UNC.jpg

Algorithms: Diffusion Tensor Imaging (PNL-UNC)

In this project we look to improve statistical analysis of diffusion measures along white matter fibers of interest. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Clustering small.png

Algorithms: Diffusion Tensor Imaging (PNL-MIT)

This collaboration focuses on the analysis of diffusion tensor images of the brain, including clustering analysis of fiber tractography. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Seg-MIT.jpg

Algorithms: Anatomical Segmentation (PNL-MIT)

Research in this area produces algorithms used to segment medical images, for example separating the brain into separate tissue classes and neuroanatomical structures. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Striatum-GAT.jpg

Algorithms: Rule-based Segmentation (PNL-GaTech)

This project has produced a method for semi-automated parcellation of brain structures, including the dorsolateral prefrontal cortex and the basal ganglia of the human brain. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Algorithms: Tensor Based Statistics (PNL-Utah)

This collaboration has focused on improving the measurement of diffusion tensors and comparison between diagnostic groups. More...


Engineering: Slicer Improvement and Testing

This ongoing work conducts testing and development of new features in Slicer and provides a bridge between developers and researchers using the software. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.

Training: Training Material and Expert Users Feedback

Work in this area has created training materials for Slicer software with the input of expert users. More...


Biology: Genetics and Imaging (Toronto)

Here we write a very brief description of this project. Notice a representative image is chosen from the project and places in the left column. More...

New: Here we give something new and exciting about the project. The most recent publication on this project is very appropriate for this slot.