title: Pathological site retargeting under tissue deformation using geometrical association and tracking.
abstract: 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.
authors.affiliation: The Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, UK. menglong.ye11@imperial.ac.uk
authors.forename: Menglong
authors.initials: M
authors.lastname: Ye
authors.affiliation: The Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, UK.
authors.forename: Stamatia
authors.initials: S
authors.lastname: Giannarou
authors.affiliation: The Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, UK.
authors.forename: Nisha
authors.initials: N
authors.lastname: Patel
authors.affiliation: The Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, UK.
authors.forename: Julian
authors.initials: J
authors.lastname: Teare
authors.affiliation: The Hamlyn Centre for Robotic Surgery, Department of Surgery and Cancer, Imperial College London, UK.
authors.forename: Guang-Zhong
authors.initials: GZ
authors.lastname: Yang
mesh_terms: D000465:Algorithms; D005773:Gastroscopy / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008853:Microscopy / Q000379:methods*; D064847:Multimodal Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity