Semi-Automatic Segmentation of Cone Beam Computed Tomography Datasets for Volume Measurements of Equine Cheek Teeth.

This research study explores the potential for measuring the volume of horse teeth using Cone Beam Computed Tomography (CBCT). The researchers used this technique to create 3D images of the teeth, which were then compared to traditional methods of volume measurement.

Methodology and Procedure

• The researchers performed CBCT scans on the heads of 5 horses, who had died from causes unrelated to the study.
• The CBCT scans were then segmented with a software called 3D Slicer according to a designated protocol.
• These segmented images were manually corrected and assembled into a 3D model, from which the volume of each tooth could be calculated.
• The accuracy of these calculated volumes was then compared to the volumes measured using the water displacement method, which is considered the “gold standard” in this context.

Results

• The measurements indicated a strong correlation (0.99) between the volumes calculated from the 3D models and the volumes measured by water displacement.
• On average, the CBCT-derived volumes were 6.1% less than the measured volumes.
• There was no significant volume difference between teeth on the right and left sides of the horses’ mouths.
• The volumes of the horses’ upper cheek teeth were found to be on average 40% larger than those of their lower counterparts.

Implications and Conclusions

• These results suggest that semi-automatic image segmentation of equine teeth from CBCT data can provide accurate volume measurements, albeit with some need for manual adjustment.
• The research provides preliminary data on the volume of horse cheek teeth and opens up new possibilities for similar studies in living animals.