Towards an Electronic Orientation Table: Using Features Extracted From the Image to Register Digital Elevation Model

Leo Nicolle, Julien Bonneton, Hubert Konik, Damien Muselet, Laure Tougne

Abstract

The generation of a virtual representation of the bones and fragments is an artificial step required in order to obtain helpful models to work with in a simulation. Nowadays, the Marching Cubes algorithm is a de facto standard for the generation of geometric models from medical images. However, bone fragments models generated by Marching Cubes are huge and contain many unconnected geometric elements inside the bone due to the trabecular tissue. The development of new methods to generate geometrically simple 3D models from CT image stacks that preserve the original information extracted from them would be of great interest. In order to achieve that, a preliminary study for the development of a new method to generate triangle meshes from segmented medical images is presented. The method does not modify the points extracted from CT images, and avoid generating triangles inside the bone. The aim of this initial study is to analyse if a spatial decomposition may help in the process of generating a triangle mesh by using a divide-and-conquer approach. The method is under development and therefore this paper only presents some initial results and exposes the detected issues to be improved.

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Paper Citation


in Harvard Style

Nicolle L., Bonneton J., Konik H., Muselet D. and Tougne L. (2017). Towards an Electronic Orientation Table: Using Features Extracted From the Image to Register Digital Elevation Model . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 28-38. DOI: 10.5220/0006115700280038


in Bibtex Style

@conference{visapp17,
author={Leo Nicolle and Julien Bonneton and Hubert Konik and Damien Muselet and Laure Tougne},
title={Towards an Electronic Orientation Table: Using Features Extracted From the Image to Register Digital Elevation Model},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={28-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006115700280038},
isbn={978-989-758-227-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - Towards an Electronic Orientation Table: Using Features Extracted From the Image to Register Digital Elevation Model
SN - 978-989-758-227-1
AU - Nicolle L.
AU - Bonneton J.
AU - Konik H.
AU - Muselet D.
AU - Tougne L.
PY - 2017
SP - 28
EP - 38
DO - 10.5220/0006115700280038