2009 Summer Project Week Prostate Robotics
Key Investigators
- BWH: Junichi Tokuda, Nobuhiko Hata
- JHU: Sam Song, Nathan Cho
- AMS: Jack Blevins, Clif Burdette
- WPI: Gregory Fischer
- Queen's: Andras Lasso
Objective
We are developing methods for analyzing diffusion tensor data along fiber tracts. The goal is to be able to make statistical group comparisons with fiber tracts as a common reference frame for comparison.
Approach, Plan
Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below. The main challenge to this approach is <foo>.
Our plan for the project week is to first try out <bar>,...
Progress
Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the DTI Software Infrastructure project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.
References
- Fischer G.S., Iordachita I., Csoma C., Tokuda J., Mewes P.W., Tempany C.M., Hata N., Fichtinger G. Pneumatically Operated MRI Compatible Needle Placement Robot for Prostate Interventions. Proceedings of the IEEE International Conference on Robotics and Automation 2008;2489-2495.
- Mewes P., Tokuda J., DiMaio S., Fischer G., Csoma C., Gobbi D., Tempany C., Fichtinger G., Hata N. Integrated System for Robot-Assisted in Prostate Biopsy in Closed MRI Scanner. Proceedings of the IEEE International Conference on Robotics and Automation 2008; 2959-2962.
- DiMaio S.P., Fischer G.S., Haker S.J., Hata N., Iordachita I., Tempany C.M., Kikinis R., Fichtinger G. A system for MRI-guided Prostate Interventions. Proceedings of IEEE RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics 2006 Feb.