In the first 3 years we had great success with our seed grants program, and at least 3 of the seed grants have already contributed to funded or to-be-funded R01s. Last year the focus of our seed grant program switched to making imaging analytic tools more translation-oriented, via practical software implementation. This year we will continue along this direction. We now have a software engineer/programmer team in place, and the seed grants will be given as %effort of one programmer, in order to help translate mature computational algorithms or analysis pipeline into tools that can be more easily used in the clinic. The basic elements, important dates and application materials are described next.
- Friday, April 14, 2017: Deadline for submission
- Friday, May 19, 2017: Announcement of awards
- July 1, 2017: Award start date
- Suitable projects will have the basic science and validation part already completed in prior work, and will be ready for translation.
- Translation can be achieved in many ways: by augmenting a pipeline with a user-friendly front-end, documenting it appropriately, and creating a ready-to-install program; by using our image processing web portal (https://ipp.cbica.upenn.edu/), which allows us to "export" pipelines running on our server and make them readily available to outside users via submitting images and receiving results; by building a plug-in for an existing clinical workstation or other visualization means (e.g. mevislab); or via some other suitable way.
- CBICA faculty and senior postdocs are eligible to apply: the latter are particularly encouraged to do so, if they have a method that is mature and suitable for translation.
- 2-page description of the project, documenting the existing method with evidence that it is mature and suitable for translation
- A detailed plan on the translational implementation utilizing ~40% effort of the programmer
- Please send all material to Amanda Shacklett
|An Integrated Tool for Quantitative Profiling of Brain Structure towards MRIbased
|Laboratory for Breast Radiodensity Assessment” (LIBRA): A software tool for the translation of novel
quantitative imaging biomarkers into personalized breast cancer risk assessment
|Characterization of regional neurodevelopment in adolescence through non-negative
|Theodore D. Satterthwaite
|FETAL VENTRICULOMEGALY: DEVELOPING SOFTWARE TO PREDICT THE CLINICAL NEED FOR SHUNTING||Jared Pisapia
Gregory G. Heuer
|Computer-Aided Detection for Monitoring Aneurysm Progression (CADMAP) for Clinical Use||Jimit Doshi