Difference between revisions of "2012 Summer Project Week Breakout Session:Ultrasound"

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We discuss how to use 3D Slicer in ultrasound (US)-guided interventions. Our goal is to identify common functions in these applications and create a platform from them in 3D Slicer.
 
We discuss how to use 3D Slicer in ultrasound (US)-guided interventions. Our goal is to identify common functions in these applications and create a platform from them in 3D Slicer.
 
  
 
=Time/Date/Place=
 
=Time/Date/Place=

Revision as of 22:12, 18 June 2012

Home < 2012 Summer Project Week Breakout Session:Ultrasound

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Objective

We discuss how to use 3D Slicer in ultrasound (US)-guided interventions. Our goal is to identify common functions in these applications and create a platform from them in 3D Slicer.

Time/Date/Place

  • In 2012 Slicer programming week
  • 1pm - 3pm, Thursday, June 21, 2012
  • Kiva Room, MIT

Coordinator

  • Tamas Ungi, Queen's University
  • Kirby Vosburgh, BWH

Agenda (tentative)

  • Temporal and spatial calibration of tracked US probes using PLUS (Csaba)
  • Real time US display in Slicer to guide interventions (Tamas)
  • Perk Tutor: A configurable, Slicer-based training platform for ultrasound-guided needle insertions (Tamas)
  • Low cost hardware. Capture and replay of experimental or clinical sessions (Kirby)
  • Slicer CaseHub - Plans for capturing, organizing, and accessing multi-track procedure data (Steve)

Topic suggestions

  • Improving Ultrasound imaging. This involves acquiring RF level or other data from the mid-processor stage of the imager (see http://www.ti.com/lit/wp/sprab12/sprab12.pdf, Figure 2) with the intent to provide a more suitable image for a particular application.
  • Ultrasound post-processing, in which the image is processed to better enable, for example, registration to a CT data set.
  • Calibration, registration and display of ultrasound in 3D Slicer
  • Real time (lag free) display of high quality US in Slicer for procedure guidance and lag free registered display in 3D models.
  • The combination of 3 and 4 on low cost commodity hardware.
  • The capture of all data to enable post procedure replay of a experimental or clinical session, so that the various processing steps can be debugged and optimized.