title: Homographic Patch Feature Transform: A Robustness Registration for Gastroscopic Surgery.
abstract: Image registration is a key component of computer assistance in image guided surgery, and it is a challenging topic in endoscopic environments. In this study, we present a method for image registration named Homographic Patch Feature Transform (HPFT) to match gastroscopic images. HPFT can be used for tracking lesions and augmenting reality applications during gastroscopy. Furthermore, an overall evaluation scheme is proposed to validate the precision, robustness and uniformity of the registration results, which provides a standard for rejection of false matching pairs from corresponding results. Finally, HPFT is applied for processing in vivo gastroscopic data. The experimental results show that HPFT has stable performance in gastroscopic applications.
authors.affiliation: Department of Gastroenterology Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.|Institute of Gastroenterology, Zhejiang University, Hangzhou, China.
authors.forename: Weiling
authors.initials: W
authors.lastname: Hu
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.|Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China.
authors.forename: Xu
authors.initials: X
authors.lastname: Zhang
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.|Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Wang
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.|Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China.
authors.forename: Jiquan
authors.initials: J
authors.lastname: Liu
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.|Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China.
authors.forename: Huilong
authors.initials: H
authors.lastname: Duan
authors.affiliation: Department of Gastroenterology Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.|Institute of Gastroenterology, Zhejiang University, Hangzhou, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Dai
authors.affiliation: Department of Gastroenterology Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China.|Institute of Gastroenterology, Zhejiang University, Hangzhou, China.
authors.forename: Jianmin
authors.initials: J
authors.lastname: Si
mesh_terms: D000465:Algorithms; D005773:Gastroscopy / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007432:Intraoperative Period; D013270:Stomach / Q000473:pathology* / Q000601:surgery*; D025321:Surgery, Computer-Assisted / Q000379:methods*