Which imaging technique will improve border definition?

Which imaging technique will improve border definition?

• A. Use a lower line density
• B. Use a 2D array transducer
• C. Apply a speckle reduction algorithm
• D. Use spatial compound imaging

Answer: (D)

Border definition in ultrasound images improves when you combine information from multiple viewing angles. Spatial compound imaging does exactly that by acquiring data from several angles and fusing them into one image. This approach reduces speckle noise and edge artifacts, so tissue interfaces appear crisper and borders stand out more clearly. Because the imaging is combined in real time, you get a single, clearer view without needing extra scans. Lower line density decreases sampling and can actually reduce resolution, which harms border clarity. A 2D array transducer enables two-dimensional imaging but by itself doesn’t guarantee sharper borders. Speckle reduction helps with noise, but it doesn’t systematically enhance border delineation as effectively as combining views from multiple angles.

Border definition in ultrasound images improves when you combine information from multiple viewing angles. Spatial compound imaging does exactly that by acquiring data from several angles and fusing them into one image. This approach reduces speckle noise and edge artifacts, so tissue interfaces appear crisper and borders stand out more clearly. Because the imaging is combined in real time, you get a single, clearer view without needing extra scans.

Lower line density decreases sampling and can actually reduce resolution, which harms border clarity. A 2D array transducer enables two-dimensional imaging but by itself doesn’t guarantee sharper borders. Speckle reduction helps with noise, but it doesn’t systematically enhance border delineation as effectively as combining views from multiple angles.