Nonrigid medical image registration with locally linear reconstruction
Wang, Lingfeng; Pan, Chunhong
发表期刊NEUROCOMPUTING
2014-12-05
卷号145页码:303-315
文章类型Article
摘要Nonrigid image registration plays an important role in medical imaging systems. In complex circumstances, it is still a challenging task, especially when input images are corrupted by the spatially-varying intensity distortion. To address this difficulty, we propose a novel locally linear reconstruction based dissimilarity measurement (LLR). The core idea behind the LLR is that in each local region, the aligned floating image is linearly reconstructed by the reference image. Due to LLR, we present a multi-resolution nonrigid image registration algorithm. Extensive experiments on various simulated and real medical images have demonstrated that our algorithm outperforms the state-of-the-art approaches in registration accuracy. (C) 2014 Elsevier B.V. All rights reserved.
关键词Nonrigid Image Registration Locally Linear Reconstruction Intensity Distortion Multi-modal
WOS标题词Science & Technology ; Technology
关键词[WOS]MUTUAL-INFORMATION ; MR-IMAGES ; SEGMENTATION ; ENTROPY
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000342248100033
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被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/3716
专题多模态人工智能系统全国重点实验室_先进时空数据分析与学习
作者单位Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
第一作者单位模式识别国家重点实验室
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Wang, Lingfeng,Pan, Chunhong. Nonrigid medical image registration with locally linear reconstruction[J]. NEUROCOMPUTING,2014,145:303-315.
APA Wang, Lingfeng,&Pan, Chunhong.(2014).Nonrigid medical image registration with locally linear reconstruction.NEUROCOMPUTING,145,303-315.
MLA Wang, Lingfeng,et al."Nonrigid medical image registration with locally linear reconstruction".NEUROCOMPUTING 145(2014):303-315.
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