Pathological Site Retargeting under Tissue Deformation Using Geometrical Association and Tracking
File(s)paper685.pdf (2.47 MB)
Accepted version
Author(s)
Ye, M
Giannarou, S
Patel, N
Teare, J
Yang, G-Z
Type
Conference Paper
Abstract
Recent advances in microscopic detection techniques include
fluorescence spectroscopy, fibred confocal microscopy and optical coher-
ence 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 sam-
ples and off-line analysis. Since optical-based biopsy does not leave vis-
ible 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 defor-
mation 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.
fluorescence spectroscopy, fibred confocal microscopy and optical coher-
ence 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 sam-
ples and off-line analysis. Since optical-based biopsy does not leave vis-
ible 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 defor-
mation 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.
Date Issued
2013-01-01
Date Acceptance
2013-09-22
Citation
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013, pp.67-74
ISBN
978-3-642-40762-8
ISSN
0302-9743
Publisher
Springer Berlin Heidelberg
Start Page
67
End Page
74
Journal / Book Title
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
Copyright Statement
© 2013 Springer-Verlag Berlin Heidelberg. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40763-5_9
Source
16th International Conference on MICCAI 2013
Publication Status
Published
Start Date
2013-09-22
Finish Date
2013-09-26
Coverage Spatial
Nagoya, Japan