Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric

	Accelerating Neuroimage Registration through Parallel Computation of Similarity Metric
	Yun-gang Luo; Ping Liu; Lin Shi; Yishan Luo; Lei Yi; Ang Li; Jing Qin; Pheng-Ann Heng; Defeng Wang
刊名	PLOS ONE
	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
内容类型	期刊论文
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).