NDLI: Target vessel identification in endoscopic coronary artery bypass grafting

Content Provider	IEEE Xplore Digital Library
Author	Sun, Yifeng Gu, Lixu Cai, Junfeng
Copyright Year	2015
Description	Author affiliation: School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China (Sun, Yifeng; Gu, Lixu) \|\| Department of Cardiac Surgery, Ruijin Hospital, Shanghai, China (Cai, Junfeng)
Abstract	Minimal invasive direct coronary artery bypass grafting (MIDCAB) procedures are potentially advantageous over conventional open surgery, while one major limitation is the narrow view of the endoscope and the difficulty in detecting stenosis from the endoscopic view. In this paper, we propose a frame to align the endoscope view and the 3D-vessel model reconstructed from angiography. We register the endoscopic video frame with the 3D-vessel model by electro-magnetic sensor, and then we segment the vessel in the endoscopic video frame with HSV (hue, saturation, value) and hessian transformation, and refined the registration with the vessel model by Coherent Points Drifting. We have validated the proposed method on a static phantom heart model and a real patient's endoscope video. RMSE (root mean-square error) was employed to evaluate our method and the registration error for the phantom model were 1.1+−0.2mm, for the real patient was 3.1mm.
Starting Page	418
Ending Page	422
File Size	1146241
Page Count	5
File Format	PDF
e-ISBN	9781509000227
DOI	10.1109/BMEI.2015.7401541
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Heart Endoscopes Iterative closest point algorithm Intra-operative 2D-3D registration Surgery Phantoms multi-modal registration CABG Arteries Image reconstruction endoscopic vessel segmentation
Content Type	Text
Resource Type	Article

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