Validation of Defined Regions of Interest Using Surface Scanning

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Home < Validation of Defined Regions of Interest Using Surface Scanning

Objective:

  • To evaluate manual and automated segmentation routines using surface scans of disected bones from cadaveric specimens

Progress:

  • CT images of the hand and wrist have been obtained
  • Four hands have been disected and bones extracted
  • Surface scanning for these disected bones is completed using a Roland LPX-250 Laser Scanner
  • Manual tracing of the CT images is completed
  • Evaluate reliability of the manual tracers is complete using relative overlap
  • Tools have been developed to reorient surface axes and to register the manually defined model and the surface resulting from laser scanning
  • Distance maps for the manual segmentation have been generated.
  • The effect of various post processing routines have been studied relative to changes in the surface geometry relative to the laser scan.


To Do:

  • Evaluate automated segmentation algorithms to the Physical laser scans
    1. Neural network segmentation
    2. EM Segmenter
  • Integrate surface orientation and registration tools into Slicer3
  • Integrate surface distance map tools into Slicer3 - These could be useful for other applications as well.


Key Investigators:

  • Iowa: Nicole Grosland, Vincent Magnotta, Nicole DeVries

Links:

References:

  • Validation of Phalanx Bone 3D Surface Segmentation from CT Images Using Laser Scanning, Skeletal Radiology, In press.

Figures:

Surface distance mapping tool developed in FLTK
Surface Distance Map for a phalanx bone between a surface manually defined via CT and a physical surface laser scan.
Overlay of the physical surface (White) and CT based surface (Purple)