Title
Targeted optical biopsies for surveillance endoscopies.
Abstract
Recent introduction of probe-based confocal laser endomicroscopy (pCLE) allowed for the acquisition of in-vivo optical biopsies during the endoscopic examination without removing any tissue sample. The non-invasive nature of the optical biopsies makes the re-targeting of previous biopsy sites in surveillance examinations difficult due to the absence of scars or surface landmarks. In this work, we introduce a new method for recognition of optical biopsy scenes of the diagnosis endoscopy during serial surveillance examinations. To this end, together with our clinical partners, we propose a new workflow involving two-run surveillance endoscopies to reduce the ill-posedness of the task. In the first run, the endoscope is guided from the mouth to the z-line (junction from the oesophagus to the stomach). Our method relies on clustering the frames of the diagnosis and the first run surveillance (S1) endoscopy into several scenes and establishing cluster correspondences accross these videos. During the second run surveillance (S2), the scene recognition is performed in real-time and in-vivo based on the cluster correspondences. Detailed experimental results demonstrate the feasibility of the proposed approach with 89.75% recall and 80.91% precision on 3 patient datasets.
Year
DOI
Venue
2011
10.1007/978-3-642-23626-6_11
MICCAI (3)
Keywords
Field
DocType
serial surveillance examination,run surveillance,optical biopsy,in-vivo optical biopsy,surveillance examination,cluster correspondence,targeted optical biopsy,optical biopsy scene,two-run surveillance endoscopies,diagnosis endoscopy,new method
Endoscope,Computer vision,Optical Biopsy,Computer science,Endoscopy,Biopsy,Artificial intelligence,Confocal laser endomicroscopy,Cluster analysis
Conference
Volume
Issue
ISSN
14
Pt 3
0302-9743
Citations 
PageRank 
References 
1
0.35
8
Authors
5
Name
Order
Citations
PageRank
Selen Atasoy1665.03
Diana Mateus241732.74
Alexander Meining3495.44
Guang-Zhong Yang42812297.66
Nassir Navab56594578.60