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:

• Complete manual tracing from the CT images
• Evaluate reliability of the manual tracers
• Run Neural network segmentation and EM Segmenter on the CT scans
• Compare the results to the surface scans

Key Investigators:

• Iowa: Nicole Grosland, Vincent Magnotta, Nicole DeVries

Links:

• Musculoskeletal Imaging, Modelling and Experimentation (MIMX)

Description: This page is currently a place holder for a year two project for the Meshing grant