What does "interpolation" refer to in ultrasound imaging?

Interpolation in ultrasound imaging refers to a method used to estimate values at unknown points based on surrounding data. This is crucial during the image reconstruction process, especially in two-dimensional imaging, where the system needs to create a continuous image from discrete data points collected by the transducer.

During the scanning process, ultrasound machines capture data at specific intervals, generating a point cloud of information. Interpolation takes advantage of this data by applying mathematical algorithms to estimate the values in between these points, leading to smoother and more continuous images. This allows for better visualization of structures and improves the overall diagnostic capability of the ultrasound examination.

This technique enhances image quality by reducing artifacts and filling gaps that may occur due to limitations in the data collection process. Such estimation is vital in both 2D and 3D ultrasound imaging, ensuring that the final displayed image appears more coherent and reflective of the actual anatomy being examined.