Comput Math Methods Med - Gastroscopic image graph: application to noninvasive multitarget tracking under gastroscopy.

Tópicos

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Resumo

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?2.4mm, 7.6?3.1mm, and 7.9?1.6mm, respectively. The mean accuracy was 7.31mm, average targeting time was 56ms, 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.

Resumo Limpo

gastroscop examin one common method gastric diseas diagnosi paper multitarget track approach propos assist endoscopist identifi lesion gastroscopi approach analyz numer preobserv gastroscop imag construct gastroscop imag graph way deform registr gastroscop imag regard graph search problem procedur endoscopist mark suspici lesion screen graph util locat display lesion appropri frame base calcul registr model compar tradit gastroscop lesion surveil method eg tattoo probebas optic biopsi approach noninvas requir addit instrument order assess quantifi perform approach appli stomach phantom data vivo data clinic experiment result demonstr accuraci angulari antral stomach bodi mm mm mm respect mean accuraci mm averag target time ms p valu make attract candid clinic practic furthermor approach provid signific refer endoscop target track soft tissu organ

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