论文信息 - A Merging Model Reconstruction Method for Image-Guided Gastroscopic Biopsy

A Merging Model Reconstruction Method for Image-Guided Gastroscopic Biopsy

Tattooing and Argon plasma coagulation (APC) are used for gastroscopic biopsy traditionally. To overcome the invasive issues of tattooing and APC, we proposed an image-guided gastroscopic biopsy system (IGGBS) to guide endoscopist in retargeting previous biopsy sites in the follow-ups non-invasively. In this paper, a model merging method is proposed to improve the IGGBS’s accuracy. The method reconstructs local realistic model based on gastroscopic image sequences during procedure, then the local model is merged with the pre-operative model in real-time. As a consequence, the merging model is used in IGGBS to navigate endoscopist to retarget biopsy sites, which provides the endoscopist with a confident 3D region around the endoscope camera site and a measure of the reconstruction precision. As the experimental result shows, the root mean square target registration error of IGGBS using merging model is 9.5 mm, which is close to the conventional biopsy tattooing method (about 1cm).

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