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Lazăr DC, Avram MF, Faur AC, Romoşan I, Goldiş A. The role of computer-assisted systems for upper-endoscopy quality monitoring and assessment of gastric lesions. Gastroenterol Rep (Oxf) 2021; 9:185-204. [PMID: 34316369 PMCID: PMC8309682 DOI: 10.1093/gastro/goab008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 12/05/2020] [Accepted: 12/20/2020] [Indexed: 12/24/2022] Open
Abstract
This article analyses the literature regarding the value of computer-assisted systems in esogastroduodenoscopy-quality monitoring and the assessment of gastric lesions. Current data show promising results in upper-endoscopy quality control and a satisfactory detection accuracy of gastric premalignant and malignant lesions, similar or even exceeding that of experienced endoscopists. Moreover, artificial systems enable the decision for the best treatment strategies in gastric-cancer patient care, namely endoscopic vs surgical resection according to tumor depth. In so doing, unnecessary surgical interventions would be avoided whilst providing a better quality of life and prognosis for these patients. All these performance data have been revealed by numerous studies using different artificial intelligence (AI) algorithms in addition to white-light endoscopy or novel endoscopic techniques that are available in expert endoscopy centers. It is expected that ongoing clinical trials involving AI and the embedding of computer-assisted diagnosis systems into endoscopic devices will enable real-life implementation of AI endoscopic systems in the near future and at the same time will help to overcome the current limits of the computer-assisted systems leading to an improvement in performance. These benefits should lead to better diagnostic and treatment strategies for gastric-cancer patients. Furthermore, the incorporation of AI algorithms in endoscopic tools along with the development of large electronic databases containing endoscopic images might help in upper-endoscopy assistance and could be used for telemedicine purposes and second opinion for difficult cases.
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Affiliation(s)
- Daniela Cornelia Lazăr
- Department V of Internal Medicine I, Discipline of Internal Medicine IV, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Romania,Timișoara, Romania
| | - Mihaela Flavia Avram
- Department of Surgery X, 1st Surgery Discipline, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Romania, Timișoara, Romania
| | - Alexandra Corina Faur
- Department I, Discipline of Anatomy and Embriology, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Romania, Timișoara, Romania
| | - Ioan Romoşan
- Department V of Internal Medicine I, Discipline of Internal Medicine IV, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Romania,Timișoara, Romania
| | - Adrian Goldiş
- Department VII of Internal Medicine II, Discipline of Gastroenterology and Hepatology, “Victor Babeș” University of Medicine and Pharmacy Timișoara, Romania, Timișoara, Romania
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Hu W, Zhang X, Wang B, Liu J, Duan H, Dai N, Si J. Homographic Patch Feature Transform: A Robustness Registration for Gastroscopic Surgery. PLoS One 2016; 11:e0153202. [PMID: 27054567 PMCID: PMC4824530 DOI: 10.1371/journal.pone.0153202] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Accepted: 03/24/2016] [Indexed: 11/25/2022] Open
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.
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Affiliation(s)
- Weiling Hu
- Department of Gastroenterology Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
- Institute of Gastroenterology, Zhejiang University, Hangzhou, China
| | - Xu Zhang
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
- Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Bin Wang
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
- Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Jiquan Liu
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
- Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China
- * E-mail: liujq@ zju.edu.cn (JL); (JS)
| | - Huilong Duan
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
- Key Laboratory of Biomedical Engineering, Ministry of Education, Zhejiang University, Hangzhou, China
| | - Ning Dai
- Department of Gastroenterology Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
- Institute of Gastroenterology, Zhejiang University, Hangzhou, China
| | - Jianmin Si
- Department of Gastroenterology Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
- Institute of Gastroenterology, Zhejiang University, Hangzhou, China
- * E-mail: liujq@ zju.edu.cn (JL); (JS)
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Liu J, Wang B, Hu W, Sun P, Li J, Duan H, Si J. Global and Local Panoramic Views for Gastroscopy: An Assisted Method of Gastroscopic Lesion Surveillance. IEEE Trans Biomed Eng 2015; 62:2296-307. [PMID: 25910000 DOI: 10.1109/tbme.2015.2424438] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Gastroscopy plays an important role in the diagnosis of gastric disease. In this paper, we develop an image panoramic system to assist endoscopists in improving lesion surveillance and reducing many of the tedious operations associated with gastroscopy. The constructed panoramic view has two categories: 1) the local view broadens the endoscopist's field of view in real time. Combining with the original gastroscopic video, this mosaicking view enables the endoscopist to diagnose the lesion comprehensively; 2) the global view constructs a large-area panoramic scene of the internal gastric surface, which can be used for intraoperative surgical navigation and postoperative scene review. Due to the irregular texture and inconsistent reflection of the gastric internal surface, common registration methods cannot accurately stitch this surface. Thereby, a six degree of freedom position tracking endoscope is devised to accommodate for the accumulated mosaicking error and provide efficient mosaicking results. For the global view, a dual-cube constraint model and a Bundle Adjustment algorithm are incorporated to deal with the mosaicking error caused by the irregular inflation and nonrigid deformation of the stomach. Moreover, texture blending and frame selection schemes are developed to make the mosaicking results feasible in real-clinical applications. The experimental results demonstrate that our system performs with a speed of 7.12 frames/s in a standard computer environment, and the mosaicking mean error is 0.43 mm for local panoramic view and 3.71 mm for global panoramic view.
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