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Four grants awarded in the first half of 2013!

posted Aug 17, 2013, 11:46 AM by Stephen Aylward
I have gotten behind in posting news, but we've been busy!   Thanks to our outstanding collaborators, we have been extremely successful in winning NIH and DoD grants on a variety of topics.  VTK is receiving dedicated funding for the first time in its 20 year history.  Dr. Marc Niethammer (UNC) has been leading the development of a geometric metamorphosis algorithm and a sliding-organ registration algorithm that are featured in proposals for traumatic brain injury assessment (with UCLA/USC) and longitudinal lung nodule monitoring (with UPitt and RIT).  Our Bender application for anatomic morphing has also received new funding from the AFRL.  The details on the grant awards are as follow:

Accelerating community-driven medical innovation with VTK

NIH/NIBIB 1R01EB014955-01 (S. Aylward, B. Geveci, W. Schroeder)
4/1/2013 – 3/30/2017
The proposed studies seek to continue the development of the Visualization Toolkit (VTK). These studies will allow for the representation of large data and visualization via web and mobile platforms as well as maintain and, perhaps, increase the VTK user community.

Multimodality image-based assessment system for traumatic brain injury

NIH/NINDS 1R41NS081792-01 (S. Aylward) 
1/1/2013 – 12/31/2015
Provide "geometric metamorphosis" as an easy-to-use image analysis tools capable of handling large, heterogenous pathologies that cause severe brain deformations.

Software for efficient anatomical model posing and morphing

DoD/AFRL: FA8650-13-M-6444 (S. Aylward and J. Finet) 
4/1/2013 – 3/30/2014
Further the state-of-the-art in anatomical model repositioning by funding the extension of Kitware’s Bender toolkit. The project aims to reduce the time required for anatomical model pose manipulation and for simulating anthropomorphic changes, such as an increase in body-mass index.

Image-based quantification and analysis of Longitudinal Lung Nodule Deformations

NIH/NIBIB : 1R41EB015775-01 (M. Niethammer, UNC and N. Cahill, RIT) 
4/1/2013 – 3/30/2015
Develop a "geometric metamorphosis" deformable image registration method that, given a patient's medical images, can recover pathology’s deformation over time while accounting for the impact of background deformations.