Skin Surface Reconstruction and 3D Vessels Segmentation in Speckle Variance Optical Coherence Tomography

Marco Manfredi, Costantino Grana, Giovanni Pellacani

2016

Abstract

In this paper we present a method for in vivo surface reconstruction and 3D vessels segmentation from Speckle-Variance Optical Coherence Tomography imaging, applied to dermatology. This novel technology allows to capture motion underneath the skin surface revealing the presence of blood vessels. Standard OCT visualization techniques are inappropriate for this new source of information, that is crucial in early skin cancer diagnosis. We investigate 3D reconstruction techniques for better visualization of both the external and internal structure of skin lesions, as a tool to help clinicians in the task of qualitative tumor evaluation.

Paper Citation

in Harvard Style

Manfredi M., Grana C. and Pellacani G. (2016). Skin Surface Reconstruction and 3D Vessels Segmentation in Speckle Variance Optical Coherence Tomography . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 234-240. DOI: 10.5220/0005758702340240

in Bibtex Style

@conference{visapp16,
author={Marco Manfredi and Costantino Grana and Giovanni Pellacani},
title={Skin Surface Reconstruction and 3D Vessels Segmentation in Speckle Variance Optical Coherence Tomography},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={234-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005758702340240},
isbn={978-989-758-175-5},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - Skin Surface Reconstruction and 3D Vessels Segmentation in Speckle Variance Optical Coherence Tomography
SN - 978-989-758-175-5
AU - Manfredi M.
AU - Grana C.
AU - Pellacani G.
PY - 2016
SP - 234
EP - 240
DO - 10.5220/0005758702340240