Difference between revisions of "2008 Winter Project Week:IGT IGSTK Slicer"

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<h1>Objective</h1>
 
<h1>Objective</h1>
We have developed techniques for finding the optimal geodesic path (or anchor tract) between two regions of interest in DWMRI data.
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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.
 
 
The objectives of this project are to port the Fast Sweeping and optimal geodesic path tractography code to ITK as well as the code to provide for volumetric segmentation of DW-MRI data.
 
 
 
See our [[Algorithm:GATech:Finsler_Active_Contour_DWI| Project Page]] for more details.
 
 
 
 
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====June 2007 Project Week====
 
====June 2007 Project Week====
During this Project Week, we did a lot of algorithmic design work, focusing on leveraging optimal or geodesic path information to provide for volumetric segmentations of fiber bundles. Working with Marek Kubicki and the Harvard DBP, we were able to begin the process of applying our algorithm to the full cingulum bundle with new labelmaps and to a new fiber bundle - Arcuate.  We have recently achieved significant results in volumetric segmentations using a locally-constrained region-based technique (see the images above).
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During the June 2007 Project Week, we designed communication framework for MRI-robot for Transperineum Prostate Brachytherapy (BRP Project/ PI: Dr. Clare Tempany), based on vtkIGTOpenTrackerStream.
  
 
====Jan 2007 Project Half Week====
 
====Jan 2007 Project Half Week====
We finished the itkDirectionalIterator which will be needed in the Fast Sweeping implementation.  Furthermore, we made progress in porting our Matlab code to ITK.
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===References===
 
===References===
* J. Melonakos, M. Niethammer, V. Mohan, M. Kubicki, J. Miller, A. Tannenbaum. Locally-Constrained Region-Based Methods for DW-MRI Segmentation. Submitted to MMBIA 2007.
 

Revision as of 21:07, 13 December 2007

Home < 2008 Winter Project Week:IGT IGSTK Slicer
The Cingulum Bundle Anchor Tract


Key Investigators

  • BWH: Nobuhiko Hata, Haiying Liu, Junichi Tokuda

Objective

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.

Approach, Plan

Our approach is described by the references below. Our challenge is to build the ITK infrastructure (such as new ITK iterators) to support this algorithm. Our main purpose at the Project Week is to collaborate on new algorithms and clinical data to provide the best solutions for our DBP partners.

Progress

June 2007 Project Week

During the June 2007 Project Week, we designed communication framework for MRI-robot for Transperineum Prostate Brachytherapy (BRP Project/ PI: Dr. Clare Tempany), based on vtkIGTOpenTrackerStream.

Jan 2007 Project Half Week



References