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2013 | OriginalPaper | Chapter

Pathological Site Retargeting under Tissue Deformation Using Geometrical Association and Tracking

Authors : Menglong Ye, Stamatia Giannarou, Nisha Patel, Julian Teare, Guang-Zhong Yang

Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013

Publisher: Springer Berlin Heidelberg

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Recent advances in microscopic detection techniques include fluorescence spectroscopy, fibred confocal microscopy and optical coherence tomography. These methods can be integrated with miniaturised probes to assist endoscopy, thus enabling diseases to be detected at an early and pre-invasive stage, forgoing the need for histopathological samples and off-line analysis. Since optical-based biopsy does not leave visible marks after sampling, it is important to track the biopsy sites to enable accurate retargeting and subsequent serial examination. In this paper, a novel approach is proposed for pathological site retargeting in gastroscopic examinations. The proposed method is based on affine deformation modelling with geometrical association combined with cascaded online learning and tracking. It provides online

in vivo

retargeting, and is able to track pathological sites in the presence of tissue deformation. It is also robust to partial occlusions and can be applied to a range of imaging probes including confocal laser endomicroscopy.

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Metadata
Title
Pathological Site Retargeting under Tissue Deformation Using Geometrical Association and Tracking
Authors
Menglong Ye
Stamatia Giannarou
Nisha Patel
Julian Teare
Guang-Zhong Yang
Copyright Year
2013
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-40763-5_9

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