Difference between revisions of "NA-MIC NCBC Collaboration:An Integrated System for Image-Guided Radiofrequency Ablation of Liver Tumors"
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# Validate the clinical feasibility of the system in a swine animal model. Agar nodules will be created in the swine liver and the ability of the system to segment and provide path planning for these nodules will be assessed. The accuracy of the system will also be evaluated. This research is important in advancing the technology for treatment of liver cancer that presently can not be treated well with current available therapies. This technology would also enable a modern, individualized therapy, which relies on integration of high power computers and innovations in medical science. It would have a contribution to public health by developing liver cancer treatments without the need for more invasive surgeries. | # Validate the clinical feasibility of the system in a swine animal model. Agar nodules will be created in the swine liver and the ability of the system to segment and provide path planning for these nodules will be assessed. The accuracy of the system will also be evaluated. This research is important in advancing the technology for treatment of liver cancer that presently can not be treated well with current available therapies. This technology would also enable a modern, individualized therapy, which relies on integration of high power computers and innovations in medical science. It would have a contribution to public health by developing liver cancer treatments without the need for more invasive surgeries. | ||
| − | ==Grant #== | + | ==Grant#== |
| − | 1R01CA124377 | + | 1R01CA124377 |
==Key Personnel== | ==Key Personnel== | ||
Revision as of 19:44, 30 November 2009
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Contents
Abstract
The overall goal of this proposal is to develop and validate an integrated system based on open source software for improved visualization and probe placement during radiofrequency ablation (RFA) of liver tumors. While radiofrequency ablation is becoming an increasingly important treatment option for unresectable hepatocellular carcinoma (HCC) and liver metastases, the procedure has several technical limitations. These limitations are mostly related to the difficulty of precisely placing the RFA needle to ablate the entire tumor and achieve adequate margins. In particular, larger tumors require multiple overlapping needle placements, which can be difficult to achieve. The specific aims of the project are to:
- Develop an open source software architecture for a liver RFA planning/treatment workstation that builds on existing open source projects at the two collaborating institutions
- Develop and evaluate semi-automatic segmentation techniques for the liver, liver vasculature, and liver tumors. These techniques will be integrated with a graphical user interface and the segmentation results will be evaluated by comparison with expert radiologists.
- Based on the segmented liver data set, develop a path planning module for evaluating alternative paths to the liver tumor and incorporating multiple overlapping placements as needed.
- Integrate the two capabilities developed above along with electromagnetic tracking of the RFA probe to provide a complete software environment for liver tumor planning, visualization, and execution. This software environment will merge ongoing work at Georgetown and Brigham and Women's Hospital in developing open source software for image-guided procedures.
- Validate the clinical feasibility of the system in a swine animal model. Agar nodules will be created in the swine liver and the ability of the system to segment and provide path planning for these nodules will be assessed. The accuracy of the system will also be evaluated. This research is important in advancing the technology for treatment of liver cancer that presently can not be treated well with current available therapies. This technology would also enable a modern, individualized therapy, which relies on integration of high power computers and innovations in medical science. It would have a contribution to public health by developing liver cancer treatments without the need for more invasive surgeries.
Grant#
1R01CA124377
Key Personnel
- Georgetown University: Kevin Cleary, PI
- NA-MIC: Nobuhiko Hata
Funding Duration
09/14/2007-07/31/2012
Projects
The NAV-RFA workflow and requirements document can be found here. Current (12/08) proposed workflow is here.
Open source workstation
Develop a planning and navigation system based on Slicer and IGSTK (Georgetown/BWH).
Segmentation
Semi-automated segmentation framework for liver, vasculature and tumors (Georgetown).
Path planning
Trajectory and ablation planning system for RFA probe (GW).
Validation
Validate the clinical feasibility of the system in an animal model (Georgetown).
Publications
- "Electromagnetic Tracking in the Clinical Environment", Z. Yaniv, E. Wilson, D. Lindisch, K. Cleary, Med. Phys., Vol. 36(3), pp. 876-892, 2009. PMID: 19378748
- "Interfacing Proprietary Hardware with the Image-Guided Surgery Toolkit (IGSTK): a Case for the OpenIGTLink Protocol", S. Ordas, Z. Yaniv, P. Cheng, J. Tokuda, H. Liu, N. Hata, K. Cleary, SPIE Medical Imaging: Visualization, Image-Guided Procedures, and Display, 2009.
- "OpenIGTLink: An open network protocol for image-guided therapy environment," J. Tokuda et al., International Journal of Medical Robotics and Computer Assisted Surgery, to appear.
