3-D Tracking for Augmented Reality Using Combined Region and Dense Cues in Endoscopic Surgery

doi:10.1109/JBHI.2017.2770214

	3-D Tracking for Augmented Reality Using Combined Region and Dense Cues in Endoscopic Surgery
	Wang, Rong; Zhang, Mei; Meng, Xiangbing; Geng, Zheng; Wang, Fei-Yue; Zhang M(张梅)
发表期刊	IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
	2018-09-01
卷号	22 期号:5 页码:1540-1551
文章类型	Article
摘要	An augmented reality (AR) technique has recently gained its popularity in minimally invasive surgery. Tracking is a crucial step to achieve precise AR. Besides optical tracking in traditional medical AR, visual tracking attracts a lot of attention due to its generality. Moreover, when the target organ's 3-D model can be obtained from preoperative images and under the model rigidity assumption, tracking is then converted into a problem of computing the six-degree-of-freedom pose of the 3-D model. In this paper, we introduce a robust tracking algorithm in our endoscopic AR system, where we combine the benefits of both region and dense cues in a unified framework. Each kind of cues alone may not be adequate for tracking in endoscopic surgery. However, they have complementary characteristics, with region cues being more robust to motion blur and fast motion, and dense cues being more accurate when motion is not large. We also propose an appearance model adaption method and an occlusion processing method to effectively handle occlusions. Experiments on both synthetic dataset and simulated surgical environment show the effectiveness and robustness of our proposed method. This work presents a novel tracking strategy in medical AR applications.
其他摘要	无
关键词	Augmented Reality Dense Cues Endoscopic Surgery Region Cues Tracking
WOS标题词	Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI	10.1109/JBHI.2017.2770214
关键词[WOS]	LAPAROSCOPIC SURGERY ; SURGICAL SIMULATION ; IMAGE ; SEGMENTATION ; LOCALIZATION ; REGISTRATION ; KNOWLEDGE ; VIDEOS
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Mathematical & Computational Biology ; Medical Informatics
WOS类目	Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics
WOS记录号	WOS:000441795800021
引用统计	被引频次：13[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/173211/40781
专题	复杂系统管理与控制国家重点实验室
通讯作者	Zhang M(张梅)
推荐引用方式 GB/T 7714	Wang, Rong,Zhang, Mei,Meng, Xiangbing,et al. 3-D Tracking for Augmented Reality Using Combined Region and Dense Cues in Endoscopic Surgery[J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,2018,22(5):1540-1551.
APA	Wang, Rong,Zhang, Mei,Meng, Xiangbing,Geng, Zheng,Wang, Fei-Yue,&Zhang M.(2018).3-D Tracking for Augmented Reality Using Combined Region and Dense Cues in Endoscopic Surgery.IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS,22(5),1540-1551.
MLA	Wang, Rong,et al."3-D Tracking for Augmented Reality Using Combined Region and Dense Cues in Endoscopic Surgery".IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS 22.5(2018):1540-1551.