NDLI: A dynamic point matching for registration in image-guided minimally invasive vascular surgery: A simulation study

Content Provider	IEEE Xplore Digital Library
Author	Wenpeng Gao Yili Fu Zaijuan Li Hao Liu Shuguo Wang
Copyright Year	2013
Description	Author affiliation: Harbin Inst. of Technol., Harbin, China (Wenpeng Gao; Yili Fu; Shuguo Wang) \|\| Electr. Eng. Dept., Harbin Inst. of Technol., Harbin, China (Zaijuan Li) \|\| Shenyang Inst. of Autom., Shenyang, China (Hao Liu)
Abstract	Registration is a key issue in image-guided minimally invasive vascular surgery (MIVS) when the electromagnetic device is used to tracking the catheter. We assume that the catheter advances in the vessel along the vascular centerline during MIVS. Based on this assumption, we proposed a dynamic point matching approach for registration, of which the transformation is estimated by aligning the point set of catheter's path to that of the vascular centerline. Due to the point set of the path obtained in real time, the point matching is performed dynamically. A matching function is introduced to indicate the correspondence between two point sets. The function is refined to find the optimal correspondence using Relax labeling, which account for local neighborhood structures. The transformation is estimated by minimizing the distance of the optimal corresponding points. A simulation experiment is designed and performed. The results show that the mean±standard deviation of target registration error is 2.72 ±0.03mm.
Sponsorship	IEEE Robot. Autom. Soc.
Starting Page	2019
Ending Page	2024
File Size	656940
Page Count	6
File Format	PDF
ISBN	9781479927449
DOI	10.1109/ROBIO.2013.6739766
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Catheters Surgery Computed tomography Electromagnetic devices Labeling Biomedical imaging Target tracking
Content Type	Text
Resource Type	Article

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