Question

Which of the following is a filtering technique in which the reformatted raw data are copied to create what looks like the original raw data set?

a) convolution
b) kernel
c) multiplanar reconstruction
d) sectional reformatting

Answer 1

Sectional reformatting is a filtering technique that involves copying and rearranging the reformatted raw data to create a dataset similar to the original raw data.

Step-by-step explanation:

The filtering technique described in the question is called sectional reformatting. Sectional reformatting involves creating a new dataset that appears similar to the original raw data by copying and rearranging the reformatted raw data.

This technique is commonly used in medical imaging to reconstruct cross-sectional images from 3D image data.