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3-D Tracking for Augmented Reality Using Combined Region and Dense Cues in Endoscopic Surgery
Wang, Rong1,2,3; Zhang, Mei1,3; Meng, Xiangbing1,2,3; Geng, Zheng1; Wang, Fei-Yue1,3; Zhang M(张梅)
Source PublicationIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
2018-09-01
Volume22Issue:5Pages:1540-1551
SubtypeArticle
AbstractAn 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.
Other Abstract
KeywordAugmented Reality Dense Cues Endoscopic Surgery Region Cues Tracking
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1109/JBHI.2017.2770214
WOS KeywordLAPAROSCOPIC SURGERY ; SURGICAL SIMULATION ; IMAGE ; SEGMENTATION ; LOCALIZATION ; REGISTRATION ; KNOWLEDGE ; VIDEOS
Indexed BySCI
Language英语
Funding OrganizationNational High-tech R&D Program (863 Program)(2015AA015905) ; National Natural Science Foundation of China(61605240)
WOS Research AreaComputer Science ; Mathematical & Computational Biology ; Medical Informatics
WOS SubjectComputer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Mathematical & Computational Biology ; Medical Informatics
WOS IDWOS:000441795800021
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21701
Collection复杂系统管理与控制国家重点实验室_复杂系统研究
Corresponding AuthorZhang M(张梅)
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
3.Qingdao Acad Intelligent Ind, Qingdao 266000, Shandong, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
Recommended Citation
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.
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