A New Parametric Description for Line Structures in 3D Medical Images by Means of a Weighted Integral Method

Hidetoshi Goto, Takumi Naito, Hidekata Hontani

2016

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.

Paper Citation

in Harvard Style

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 - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 208-217. DOI: 10.5220/0005726602080217

in Bibtex Style

@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 - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={208-217},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005726602080217},
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 - A New Parametric Description for Line Structures in 3D Medical Images by Means of a Weighted Integral Method
SN - 978-989-758-175-5
AU - Goto H.
AU - Naito T.
AU - Hontani H.
PY - 2016
SP - 208
EP - 217
DO - 10.5220/0005726602080217