Liver RFA project mtg 7 30 2008

Georgetown University, ISIS Center, July 30 ~ August 1st, 2008
Attendee: Noby Hata, Haiying Liu, Yaniv Ziv, Patrick Cheng

Day 1

• Update project status.
  1. Demonstrating Slicer 3.0 semi-auto segmentation and navigation capability
  2. Showing the existing IGSTK RFA system
• Experiment in DynaCT room (C-arm CT flouro room) to show the work flow of Georgetown system
• Disccusion the integration effort
  1. In the near term, working on the semi-automatic segmentation of tumor in liver using slicer modules
  2. Setting up DICOM receiver on the Slicer workstation so it can receive data from DynaCT scanner [Finished by Haiying using DCMTK and tested]
  3. Ziv will work on a Tracker server application during this meeting (A standard alone application that can talk to different tracking device and send out transform using OpenIGTLink)
  4. In the long term, implement registration and navigation interface in Slicer
  5. Integrate the optimization algorithm

<graphviz> digraph G { DICOM->Segmentation->Optimization->Registration->Navigation; [rankdir="LR"] } </graphviz>

Day 2

• Discussion of project road map
  1. Goals in two years and obstacles
     1. Fully integrated system. Using Slicer 3.0 as front end, implement segmentation and navigation in Slicer, integrate optimization, and talk to IGSTK tracker client using OpenIGTLink
     2. Major components in place. Slicer 3.0 need improvement in performance
  2. Action item for the 1 year
     1. Animal study in summer 09
     2. Provide IGSTK-OpenIGTLink application
     3. Provide a thorogh documentation page on how to setup the Slicer-RFA, detialed step-by-step guide for user
     4. Publications
  3. Segmentation
     1. Using traditional CT image first instead of cone-beam CT (Georgetown has liver data base and segmented the liver, need to segment ribs and vascular tree)
     2. Sota working on the segmentation using slicer, indentify the problem and tacle those problems in the NCIGT workshop next January

Action Items

Georgetown:

1. IGSTK-OpenIGTLink client and tutorial
2. Process all liver image in the data base.
3. Run the segmented data through optimization and study the outcomes. Publish 1 paper out of this study
4. Publish results on animal study: validation of the RFA study is big problem

Slicer-IGT: