Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric
文献类型：期刊论文
| 作者 | Yun-gang Luo; Ping Liu; Lin Shi; Yishan Luo; Lei Yi; Ang Li; Jing Qin; Pheng-Ann Heng; Defeng Wang |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2015 |
| 英文摘要 | Neuroimage registration is crucial for brain morphometric analysis and treatment efficacy evaluation. However, existing advanced registration algorithms such as FLIRT and ANTs are not efficient enough for clinical use. In this paper, a GPU implementation of FLIRT with the correlation ratio (CR) as the similarity metric and a GPU accelerated correlation coefficient (CC) calculation for the symmetric diffeomorphic registration of ANTs have been developed. The comparison with their corresponding original tools shows that our accelerated algorithms can greatly outperform the original algorithm in terms of computational efficiency. This paper demonstrates the great potential of applying these registration tools in clinical applications. |
| 收录类别 | SCI |
| 原文出处 | http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0136718 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6678]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | PLOS ONE |
| 推荐引用方式 GB/T 7714 | Yun-gang Luo,Ping Liu,Lin Shi,et al. Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric[J]. PLOS ONE,2015. |
| APA | Yun-gang Luo.,Ping Liu.,Lin Shi.,Yishan Luo.,Lei Yi.,...&Defeng Wang.(2015).Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric.PLOS ONE. |
| MLA | Yun-gang Luo,et al."Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric".PLOS ONE (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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