Image-Guided Interventions Tutorial using the Image-Guided Surgery Toolkit

Özgür Güler, Ziv Yaniv

(last updated March 1 2015)
IGSTK logo

"One must learn by doing the thing; for though you think you know it, you have no certainty, until you try."
                                                                                                                                Sophocles

If you use these programs in your work, please cite our paper:
"Image-Guided Navigation: A Cost Effective Practical Introduction using the Image-Guided Surgery Toolkit (IGSTK)", Ö. Güler, Z. Yaniv, Proceedings of the 34th Annual International Conference of the IEEE EMBS, 2012.
Send compliments, complaints, and bug reports to zivyaniv@nih.gov

Link to Sreenshots and Videos

Download (version 2.3.0)

Always in a hurry, no time to read the manual. Go ahead and download the tutorial and give it a try. Your starting point is with the Presentations/basics.pptx. Course instructors should also look at Presentations/advanced.pptx. The installation includes presentations, all of the tutorial programs, and one sample data set.

Perhaps later on you will come back to this page and actually read it.

  1. Windows zip archive.
  2. Linux (ubuntu), tar gzipped archive.
  3. Mac OS X, tar gzipped archive.
  4. Platform independent source code is available from the IGSTK applications git repository (git://igstk.org/IGSTKApps.git or http://igstk.org/IGSTKApps.git).

Test Your Knowledge

To assess whether you have mastered the concepts underlying image-guided intervention systems answer the questions in this exam. This is what we expect anyone developing or operating such systems should be able to do.

Introduction

Image guided navigation systems rely upon a large number of technologies. When developing or using these systems one must be aware of the limitations and assumptions of the technologies. Currently, experimentation with navigation systems is limited to select clinical sites and educational institutions. This is primarily due to the high cost of such systems. As a consequence, both medical and engineering students have traditionally been exposed to the technologies through theoretical presentations.

The notion that students are more engaged and have improved learning outcomes when learning involves active experimentation has been known for centuries (see Sophocles' quote above). More recently this educational approach was formalized by the educational theorist John Dewey, describing a theory linking between experience and education, experiential education.

We provide an infrastructure that facilitates experiential education in the domain of Image-Guided Interventions at a minimal cost. All we require are LEGO blocks to construct a phantom, mock patient, for which we provide CT scans, and a webcam which when combined with our software provides the functionality of a basic navigation system.

For a more detailed introduction and motivation see the following: For an overview of Image-Guided Interventions for engineering students we recommend reading one of the following:

Dress To Impress

The abstract, and most accessible, version of this tutorial uses a LEGO phantom as the mock patient and a pencil as a pointer tool. For most technical people, engineers and computer scientists, this abstraction is natural. Based on our experience, this setup is too abstract for many clinicians. We therefor provide instructions for constructing and using a dedicated pointer tool and scans of anatomical phantoms that can be used instead of our LEGO phantom.

Pointer Tool

Replacing the pencil with a dedicated pointer tool is a bit more complicated than going out and buying an anatomical phantom, but if you have a 3D printer you can create the pointer tool shown below:

Refined Pointer

Tool design and stl file are courtesy of Emmanuel Wilson.

If you want to display a virtual representation of the pointer tool during navigation you will have to walk the extra mile. This requires some technical knowledge.

Data

Data sets for various phantoms that can be used in the tutorial (to download, click on the image).

These data sets are provided in part through the generous financial support of the following individuals:
  • Mark Batshaw
  • Floortje Blindenbach
  • Jaap Blindenbach
  • Julie Butler
  • Kevin Cleary
  • Ben Cohen
  • Rohan Fernandes
  • Ren Hui Gong
  • Martha Houle
  • Peter Kim
  • Craig Peters
  • Raj Shekhar
  • Avishay Yaniv
  • Nurit Yaniv
  • Ziv Yaniv

CT scan of LEGO phantom. This is the scan which is already part of the downloads above.
CT scan with LEGO phantom at an angle to scanning direction.
CT scan of LEGO phantom filled with rice.

The following data set is based on the multi-modality abdominal phantom manufactured by Computerized Imaging Reference Systems (CIRS), Inc. (Norfolk, VA, USA). The data set includes the following components:

  1. CT scan.
  2. Fiducial list in XML format.
  3. Picture showing fiducial positions on model.
Multi-modality abdominal phantom data [model 057A].

The following data sets are based on models manufactured by SOMSO Modelle GmbH (Coburg, Germany). Each data set includes the following components:

  1. CT scan.
  2. Fiducial list in XML format.
  3. Picture showing fiducial positions on model.
Plastic skull data [model QS 8/2M].
Plastic skull data [model QS 7].
Plastic scapula data [upper extremity model QS14].
Plastic humerus data [upper extremity model QS14].
Plastic vertebra data [vertebral column with pelvis model QS21/1].
Plastic pelvis data [vertebral column with pelvis model QS21/1].