Name
Title | ||
|---|---|---|
Evaluation of state-of-the-art hardware architectures for fast cone-beam CT reconstruction |
Abstract | ||
|---|---|---|
We present an evaluation of state-of-the-art computer hardware architectures for implementing the FDK method, which solves the 3-D image reconstruction task in cone-beam computed tomography (CT). The computational complexity of the FDK method prohibits its use for many clinical applications unless appropriate hardware acceleration is employed. Today's most powerful hardware architectures for high-performance computing applications are based on standard multi-core processors, off-the-shelf graphics boards, the Cell Broadband Engine Architecture (CBEA), or customized accelerator platforms (e.g., FPGA-based computer components). For each hardware platform under consideration, we describe a thoroughly optimized implementation of the most time-consuming parts of the FDK algorithm; the filtering step as well as the subsequent back-projection step. We further explain the required code transformations to parallelize the algorithm for the respective target architecture. We compare both the implementation complexity and the resulting performance of all architectures under consideration using the same two medical datasets which have been acquired using a standard C-arm device. Our optimized back-projection implementations achieve at least a speedup of 6.5 (CBEA, two processors), 22.0 (GPU, single board), and 35.8 (FPGA, 9 chips) compared to a standard workstation equipped with a quad-core processor. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.parco.2011.10.004 | Parallel Computing |
Keywords | DocType | Volume |
state-of-the-art computer hardware architecture,standard c-arm device,hardware platform,standard workstation,powerful hardware architecture,standard multi-core processor,fpga-based computer component,fdk algorithm,appropriate hardware acceleration,state-of-the-art hardware architecture,fdk method,fast cone-beam ct reconstruction,hardware acceleration,filtering,computed tomography | Journal | 38 |
Issue | ISSN | ISBN |
3 | 0167-8191 | isbn |
Citations | PageRank | References |
9 | 0.93 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Holger Scherl | 1 | 30 | 2.56 |
| Markus Kowarschik | 2 | 222 | 42.67 |
| Hannes G. Hofmann | 3 | 53 | 8.20 |
| Benjamin Keck | 4 | 11 | 2.33 |
| Joachim Hornegger | 5 | 1734 | 190.62 |