title: Gastroscopic image graph: application to noninvasive multitarget tracking under gastroscopy.
abstract: Gastroscopic examination is one of the most common methods for gastric disease diagnosis. In this paper, a multitarget tracking approach is proposed to assist endoscopists in identifying lesions under gastroscopy. This approach analyzes numerous preobserved gastroscopic images and constructs a gastroscopic image graph. In this way, the deformation registration between gastroscopic images is regarded as a graph search problem. During the procedure, the endoscopist marks suspicious lesions on the screen and the graph is utilized to locate and display the lesions in the appropriate frames based on the calculated registration model. Compared to traditional gastroscopic lesion surveillance methods (e.g., tattooing or probe-based optical biopsy), this approach is noninvasive and does not require additional instruments. In order to assess and quantify the performance, this approach was applied to stomach phantom data and in vivo data. The clinical experimental results demonstrated that the accuracy at angularis, antral, and stomach body was 6.3 ± 2.4 mm, 7.6 ± 3.1 mm, and 7.9 ± 1.6 mm, respectively. The mean accuracy was 7.31 mm, average targeting time was 56 ms, and the P value was 0.032, which makes it an attractive candidate for clinical practice. Furthermore, this approach provides a significant reference for endoscopic target tracking of other soft tissue organs.
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang 310027, China ; Key Laboratory for Biomedical Engineering, Ministry of Education, Hangzhou, Zhejiang 310027, China.
authors.forename: Bin
authors.initials: B
authors.lastname: Wang
authors.affiliation: Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang 310016, China.
authors.forename: Weiling
authors.initials: W
authors.lastname: Hu
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang 310027, China ; Key Laboratory for Biomedical Engineering, Ministry of Education, Hangzhou, Zhejiang 310027, China.
authors.forename: Jiquan
authors.initials: J
authors.lastname: Liu
authors.affiliation: Department of Gastroenterology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang 310016, China.
authors.forename: Jianmin
authors.initials: J
authors.lastname: Si
authors.affiliation: College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang 310027, China ; Key Laboratory for Biomedical Engineering, Ministry of Education, Hangzhou, Zhejiang 310027, China.
authors.forename: Huilong
authors.initials: H
authors.lastname: Duan
mesh_terms: D000465:Algorithms; D005773:Gastroscopy / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D013272:Stomach Diseases / Q000175:diagnosis*