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Authors: Hidetoshi Goto ; Takumi Naito and Hidekata Hontani

Affiliation: Nagoya Institute of Technology, Japan

Keyword(s): Line Structure Description, Parameter Estimation Problem, Weighted Integral Method.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Early and Biologically-Inspired Vision ; Features Extraction ; Image and Video Analysis ; Medical Image Applications

Abstract: The authors propose a method that describes line structures in given 3D medical images by estimating the values of model parameters: A Gaussian function is employed as the model function and the values of the parameters are estimated by means of a weighted integral method, in which you can estimate the parameter values by solving a system of linear equations of parameters which are derived from differential equations that are satisfied by the Gaussian model function. Different from many other model-based methods for the description, the proposed method requires no parameter sweep and hence can estimate the parameter values efficiently. Once you estimate the parameter values, you can describe the location, the orientation and the scale of line structures in given 3D images. Experimental results with artificial 3D images and with clinical X-ray CT ones demonstrate the estimation performance of the proposed method.

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Paper citation in several formats:
Goto, H.; Naito, T. and Hontani, H. (2016). A New Parametric Description for Line Structures in 3D Medical Images by Means of a Weighted Integral Method. In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP; ISBN 978-989-758-175-5; ISSN 2184-4321, SciTePress, pages 208-217. DOI: 10.5220/0005726602080217

@conference{visapp16,
author={Hidetoshi Goto. and Takumi Naito. and Hidekata Hontani.},
title={A New Parametric Description for Line Structures in 3D Medical Images by Means of a Weighted Integral Method},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP},
year={2016},
pages={208-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005726602080217},
isbn={978-989-758-175-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016) - Volume 4: VISAPP
TI - A New Parametric Description for Line Structures in 3D Medical Images by Means of a Weighted Integral Method
SN - 978-989-758-175-5
IS - 2184-4321
AU - Goto, H.
AU - Naito, T.
AU - Hontani, H.
PY - 2016
SP - 208
EP - 217
DO - 10.5220/0005726602080217
PB - SciTePress

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