Name
Abstract | ||
|---|---|---|
•Most of the past and present work on GPU accelerated medical imaging is reviewed.•Basic operations, common algorithms and modality specific applications are included.•Registration and segmentation algorithms and the CT modality dominate the GPU usage.•The number of publications has clearly increased since the release of CUDA.•Future possibilities and challenges of GPU-based medical imaging are discussed. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.media.2013.05.008 | Medical Image Analysis |
Keywords | Field | DocType |
Medical imaging,Image processing,Image reconstruction,Graphics processing unit (GPU),CUDA | Iterative reconstruction,Computer vision,Computer graphics (images),Medical imaging,Computer science,CUDA,Image processing,Image segmentation,Real-time computer graphics,Artificial intelligence,Digital image processing,Image registration | Journal |
Volume | Issue | ISSN |
17 | 8 | 1361-8415 |
Citations | PageRank | References |
93 | 3.31 | 208 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anders Eklund | 1 | 239 | 17.18 |
| Paul Dufort | 2 | 100 | 4.17 |
| Daniel Forsberg | 3 | 148 | 13.02 |
| Stephen LaConte | 4 | 265 | 28.11 |