Of the following, which is the best choice to help you demonstrate tissue boundaries that are not perpendicular to the sound beam?

• A. Speckle reducing algorithm
• B. Spatial compounding
• C. Persistence
• D. Panoramic imaging

Answer: (B)

When a boundary sits at an angle to the sound beam, its edge can look weak or blurry because the reflection changes with angle and speckle can obscure the true interface. Spatial compounding tackles this by collecting data from multiple insonation angles and combining them into one image. The different views reveal the boundary in ways a single angle might miss, and merging them reduces speckle while sharpening edges. The result is a more reliable delineation of tissue boundaries that aren’t perpendicular to the beam.

The other options don’t target this multi-angle edge visibility in the same way. A speckle reduction algorithm lowers texture noise but can smooth out true edges. Persistence mixes frames over time to reduce noise, which can blur moving structures and still doesn’t specifically improve oblique boundary delineation. Panoramic imaging expands the field of view by stitching frames together, but it doesn’t inherently enhance the visibility of angled interfaces.