Difference between revisions of "2010 Summer Project Week Fracture Classification Brainstorming"

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==Key Investigators==
 
==Key Investigators==
 
* UMIT: Karl Fritscher
 
* UMIT: Karl Fritscher
* SPL: Ron Kikinis
+
* BWH: Ron Kikinis
 
* Georgia Tech: Peter Karasev
 
* Georgia Tech: Peter Karasev
 
* University of Iowa: Vince Magnotta
 
* University of Iowa: Vince Magnotta

Latest revision as of 18:49, 16 June 2010

Home < 2010 Summer Project Week Fracture Classification Brainstorming


Key Investigators

  • UMIT: Karl Fritscher
  • BWH: Ron Kikinis
  • Georgia Tech: Peter Karasev
  • University of Iowa: Vince Magnotta
  • Isomics: Curt Lisle


Objective

Fracture classification is of essential importance

  • as a treatment guide
  • to assist with prognosis
  • to speak a common language with others in order to compare results

Unfortunately the interobserver variability concerning the classification of different fractures is rather high [1]. Consequently (semi)-automatic methods to classify fractures according to established fracture classification systems, could be a helpful aid for an objective and consistent classification of fractures.


Approach, Plan

During the project week a first brainstorming session about potential appraoches for (automatic) fracture classification based on geometric surface properties [2] will be discussed.

Progress

This project is still in its planning phase!



References

[1] NO Thomsen, S Overgaard, LH Olsen, H Hansen, and ST Nielsen, Observer variation in the radiographic classification of ankle fractures, Journal of Bone and Joint Surgery - British Volume, Vol 73-B, Issue 4, 676-678

[2] P.A. Karasev, J.G. Malcolm, M. Niethammer, R. Kikinis, A. Tannenbaum. User-Driven 3D Mesh Region Targeting. SPIE Medical Imaging 2010.