Fig. 1: Axial ultrasound and corresponding CT slice of the lumbar spine
The disadvantage of bone imaging with ultrasound lies in the fact that,
in contrast to CT or MR imaging,
only few parts of the bone surface can be visualized (see Figure 1). Therefore,
volume based registration algorithms cannot be used for bone
registration. Existing approaches apply surface-surface registration
methods after segmentation of bone surfaces in both ultrasound and CT
images. However, the ultrasound surface segmentation is time consuming
and not robust enough to be applied to real data, especially to data
of the spine. We developed a robust algorithm to
register intraoperative three dimensional ultrasound data of the spine
with preoperative CT data. Our approach based
on surface-volume registration overcomes the abovementioned
disadvantages by avoiding the segmentation of ultrasound data.
The tissue-bone interface produces a very strong
signal in the ultrasound data. And because of the nearly total
reflection at the tissue bone interface only the first bone surface
reached by the ultrasound wave can be imaged. As the reflection at the
bone surface is almost perfectly specular, it can be compared to a
mirror for the ultrasound waves. Therefore the ultrasound sensor
detects only surfaces which are nearly orthogonal to the direction of
the ultrasound propagation (see figure 2).
Fig. 2: Sound reflection at bone surfaces
Fig. 3: Axial and sagittal ultrasound slices of a phantom with plastic vertebrae
Fig. 4: Axial and sagittal ultrasound slices of a human lumbar spine