We have studied an efficient algorithm—FBP—for computing a parallel-beam CT reconstruction. And we saw that the reconstruction is sensitive to noise in the data. Some natural questions that now arise are as follows: How can we further study the Radon transform and its inverse, how can we describe its sensitivity to noise, and how can we possibly reduce the influence of the noise?
|Title of host publication||Computed Tomography: Algorithms, Insight, and Just Enough Theory|
|Editors||Per Christian Hansen, Jakob Sauer Jørgensen, William R. B. Lionheart|
|Publisher||Society for Industrial and Applied Mathematics|
|Publication status||Published - 2021|
|Series||Fundamentals of Algorithms|