Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy
المؤلفون المشاركون
Si, Jianmin
Wang, Bin
Hu, Weiling
Liu, Jiquan
Duan, Huilong
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-08-24
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
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.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Bin& Hu, Weiling& Liu, Jiquan& Si, Jianmin& Duan, Huilong. 2014. Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1016847
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Bin…[et al.]. Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1016847
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Bin& Hu, Weiling& Liu, Jiquan& Si, Jianmin& Duan, Huilong. Gastroscopic Image Graph: Application to Noninvasive Multitarget Tracking under Gastroscopy. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1016847
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1016847
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر