DBP1:Harvard

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Overview of Harvard PNL DBP 1

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Harvard PNL Projects

	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.
	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.
	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.
	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.
	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.
200px	Algorithms: Tensor Based Statistics (PNL-Utah) This collaboration has focused on improving the measurement of diffusion tensors and comparison between diagnostic groups. More...
200px	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.