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: 1) 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 2) 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. 3) 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. 4) 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. 5) 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. ? ? ?
|Tauscher, Sebastian; Tokuda, Junichi; Schreiber, Günter et al. (2015) OpenIGTLink interface for state control and visualisation of a robot for image-guided therapy systems. Int J Comput Assist Radiol Surg 10:285-92|
|Kato, Takahisa; Okumura, Ichiro; Song, Sang-Eun et al. (2015) Tendon-Driven Continuum Robot for Endoscopic Surgery: Preclinical Development and Validation of a Tension Propagation Model. IEEE ASME Trans Mechatron 20:2252-2263|
|Ren, Hongliang; Campos-Nanez, Enrique; Yaniv, Ziv et al. (2014) Treatment planning and image guidance for radiofrequency ablation of large tumors. IEEE J Biomed Health Inform 18:920-8|
|Kato, Takahisa; Okumura, Ichiro; Song, Sang-Eun et al. (2013) Multi-section continuum robot for endoscopic surgical clipping of intracranial aneurysms. Med Image Comput Comput Assist Interv 16:364-71|
|Seifabadi, Reza; Cho, Nathan B J; Song, Sang-Eun et al. (2013) Accuracy study of a robotic system for MRI-guided prostate needle placement. Int J Med Robot 9:305-16|
|Song, Sang-Eun; Hata, Nobuhiko; Iordachita, Iulian et al. (2013) A workspace-orientated needle-guiding robot for 3T MRI-guided transperineal prostate intervention: evaluation of in-bore workspace and MRI compatibility. Int J Med Robot 9:67-74|
|Tokuda, Junichi; Song, Sang-Eun; Tuncali, Kemal et al. (2013) Configurable automatic detection and registration of fiducial frames for device-to-image registration in MRI-guided prostate interventions. Med Image Comput Comput Assist Interv 16:355-62|
|Song, Sang-Eun; Tokuda, Junichi; Tuncali, Kemal et al. (2013) Development and preliminary evaluation of a motorized needle guide template for MRI-guided targeted prostate biopsy. IEEE Trans Biomed Eng 60:3019-27|
|Tokuda, Junichi; Song, Sang-Eun; Fischer, Gregory S et al. (2012) Preclinical evaluation of an MRI-compatible pneumatic robot for angulated needle placement in transperineal prostate interventions. Int J Comput Assist Radiol Surg 7:949-57|
|Tokuda, Junichi; Tuncali, Kemal; Iordachita, Iulian et al. (2012) In-bore setup and software for 3T MRI-guided transperineal prostate biopsy. Phys Med Biol 57:5823-40|
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