Paper: | SU-AM-PS1.12 |
Session: | X-Ray CT, PET and SPECT Imaging |
Time: | Sunday, April 9, 10:50 - 12:10 |
Presentation: |
Poster
|
Title: |
A Comparative Study of Popular Interpolation and Integration Methods for Use in Computed Tomography |
Authors: |
Fang Xu; Stony Brook University | | |
| Klaus Mueller; Stony Brook University | | |
Abstract: |
We compare various popular methods available for projection and backprojection in CT. Assuming linear rays and a simple density integration along them, we consider both line- and area-based methods. Here, two key components govern the quality of a projection result, given the discrete nature of the data and reconstruction result: interpolation and integration. Both of these are studied here. In order to separate these fundamental issues from those related to perspective fan and cone-beam effects, we restrict ourselves to a parallel-beam projection geometry. We also compare these different methods in light of a possible efficient implementation on programmable commodity graphics hardware (GPUs). To this end, we propose a new method for interpolation based on hexagonal subsampling, which achieves superior results. In order to achieve a data-independent comparison, we employ a dataset of very high and uniform frequency content, the so-called Marschner-Lobb dataset. |